Index (Ignite 2.15.0)

A B C D E F G H I K L M N O P Q R S T U V W X
All Classes All Packages

A

address() - Method in class org.apache.ignite.examples.model.Employee
address() - Method in class org.apache.ignite.examples.model.Organization
Address - Class in org.apache.ignite.examples.model: Employee address.
Address() - Constructor for class org.apache.ignite.examples.model.Address: Required for binary deserialization.
Address(String, int) - Constructor for class org.apache.ignite.examples.model.Address
AlgorithmSpecificDatasetExample - Class in org.apache.ignite.examples.ml.dataset: Example that shows how to implement your own algorithm (gradient descent trainer for linear regression) which uses dataset as an underlying infrastructure.
AlgorithmSpecificDatasetExample() - Constructor for class org.apache.ignite.examples.ml.dataset.AlgorithmSpecificDatasetExample
AMAZON_EMPLOYEE_ACCESS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: A dataset with categorical features and labels.
ANNClassificationExample - Class in org.apache.ignite.examples.ml.knn: Run ANN multi-class classification trainer (ANNClassificationTrainer) over distributed dataset.
ANNClassificationExample() - Constructor for class org.apache.ignite.examples.ml.knn.ANNClassificationExample
ANNClassificationExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run ANN multi-class classification trainer (ANNClassificationTrainer) over distributed dataset.
ANNClassificationExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.ANNClassificationExportImportExample

B

BaggedLogisticRegressionSGDTrainerExample - Class in org.apache.ignite.examples.ml.regression.logistic.bagged: This example shows how bagging technique may be applied to arbitrary trainer.
BaggedLogisticRegressionSGDTrainerExample() - Constructor for class org.apache.ignite.examples.ml.regression.logistic.bagged.BaggedLogisticRegressionSGDTrainerExample
BinarizationExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use binarization preprocessor to binarize data.
BinarizationExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.BinarizationExample
BOSTON_HOUSE_PRICES - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The Boston house-prices dataset.
BostonHousePricesPredictionExample - Class in org.apache.ignite.examples.ml.regression.linear: Example of using Linear Regression model in Apache Ignite for house prices prediction.
BostonHousePricesPredictionExample() - Constructor for class org.apache.ignite.examples.ml.regression.linear.BostonHousePricesPredictionExample

C

CACHE_NAME - Static variable in class org.apache.ignite.examples.datagrid.store.auto.CacheAutoStoreExample: Cache name.
CacheAffinityExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates the simplest code that populates the distributed cache and co-locates simple closure execution with each key.
CacheAffinityExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheAffinityExample
CacheApiExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates some of the cache rich API capabilities.
CacheApiExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheApiExample
CacheAsyncApiExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates some of the cache rich API capabilities.
CacheAsyncApiExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheAsyncApiExample
CacheAutoStoreExample - Class in org.apache.ignite.examples.datagrid.store.auto: Demonstrates usage of cache with underlying persistent store configured.
CacheAutoStoreExample() - Constructor for class org.apache.ignite.examples.datagrid.store.auto.CacheAutoStoreExample
CacheBasedDatasetExample - Class in org.apache.ignite.examples.ml.dataset: Example that shows how to create dataset based on an existing Ignite Cache and then use it to calculate mean and std values as well as covariance and correlation matrices.
CacheBasedDatasetExample() - Constructor for class org.apache.ignite.examples.ml.dataset.CacheBasedDatasetExample
CacheClientBinaryPutGetExample - Class in org.apache.ignite.examples.binary.datagrid: This example demonstrates use of binary objects with Ignite cache.
CacheClientBinaryPutGetExample() - Constructor for class org.apache.ignite.examples.binary.datagrid.CacheClientBinaryPutGetExample
CacheClientBinaryQueryExample - Class in org.apache.ignite.examples.binary.datagrid: This example demonstrates use of binary objects with cache queries.
CacheClientBinaryQueryExample() - Constructor for class org.apache.ignite.examples.binary.datagrid.CacheClientBinaryQueryExample
CacheConfig - Class in org.apache.ignite.examples.streaming.wordcount: Configuration for the streaming cache to store the stream of words.
CacheConfig() - Constructor for class org.apache.ignite.examples.streaming.wordcount.CacheConfig
CacheContinuousAsyncQueryExample - Class in org.apache.ignite.examples.datagrid: This examples demonstrates asynchronous continuous query API.
CacheContinuousAsyncQueryExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheContinuousAsyncQueryExample
CacheContinuousQueryExample - Class in org.apache.ignite.examples.datagrid: This examples demonstrates continuous query API.
CacheContinuousQueryExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheContinuousQueryExample
CacheContinuousQueryWithTransformerExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates how to use continuous queries together with the transformer APIs.
CacheContinuousQueryWithTransformerExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheContinuousQueryWithTransformerExample
CacheDataStreamerExample - Class in org.apache.ignite.examples.datagrid: Demonstrates how cache can be populated with data utilizing IgniteDataStreamer API.
CacheDataStreamerExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheDataStreamerExample
CacheEntryProcessorExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates the simplest code that populates the distributed cache and co-locates simple closure execution with each key.
CacheEntryProcessorExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheEntryProcessorExample
CacheEventsExample - Class in org.apache.ignite.examples.datagrid: This examples demonstrates events API.
CacheEventsExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheEventsExample
CacheJdbcPersonStore - Class in org.apache.ignite.examples.datagrid.store.jdbc: Example of CacheStore implementation that uses JDBC transaction with cache transactions and maps Long to Person.
CacheJdbcPersonStore() - Constructor for class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcPersonStore
CacheJdbcStoreExample - Class in org.apache.ignite.examples.datagrid.store.jdbc: Demonstrates usage of cache with underlying persistent store configured.
CacheJdbcStoreExample() - Constructor for class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcStoreExample
CacheLoadOnlyStoreExample - Class in org.apache.ignite.examples.datagrid.store: Example of how to load data from CSV file using CacheLoadOnlyStoreAdapter.
CacheLoadOnlyStoreExample() - Constructor for class org.apache.ignite.examples.datagrid.store.CacheLoadOnlyStoreExample
CachePutGetExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates very basic operations on cache, such as 'put' and 'get'.
CachePutGetExample() - Constructor for class org.apache.ignite.examples.datagrid.CachePutGetExample
CacheQueryExample - Class in org.apache.ignite.examples.datagrid: Cache queries example.
CacheQueryExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheQueryExample
CacheStarSchemaExample - Class in org.apache.ignite.examples.datagrid.starschema: Snowflake Schema is a logical arrangement of data in which data is split into dimensions and facts.
CacheStarSchemaExample() - Constructor for class org.apache.ignite.examples.datagrid.starschema.CacheStarSchemaExample
CacheTransactionExample - Class in org.apache.ignite.examples.datagrid: Demonstrates how to use cache transactions.
CacheTransactionExample() - Constructor for class org.apache.ignite.examples.datagrid.CacheTransactionExample
calculateCreditRiskMonteCarlo(Credit[], int, int, double) - Method in class org.apache.ignite.examples.computegrid.montecarlo.CreditRiskManager: Calculates credit risk for a given credit portfolio.
cancel() - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl
CatboostClassificationModelParserExample - Class in org.apache.ignite.examples.ml.inference.catboost: This example demonstrates how to import Catboost model and use imported model for distributed inference in Apache Ignite.
CatboostClassificationModelParserExample() - Constructor for class org.apache.ignite.examples.ml.inference.catboost.CatboostClassificationModelParserExample
CatboostRegressionModelParserExample - Class in org.apache.ignite.examples.ml.inference.catboost: This example demonstrates how to import Catboost model and use imported model for distributed inference in Apache Ignite.
CatboostRegressionModelParserExample() - Constructor for class org.apache.ignite.examples.ml.inference.catboost.CatboostRegressionModelParserExample
checkMinMemory(long) - Static method in class org.apache.ignite.examples.ExamplesUtils: Exits with code -1 if maximum memory is below 90% of minimally allowed threshold.
checkMinTopologySize(ClusterGroup, int) - Static method in class org.apache.ignite.examples.ExamplesUtils: Checks minimum topology size for running a certain example.
clear() - Method in interface org.apache.ignite.examples.servicegrid.SimpleMapService: Clears map.
clear() - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl: Clears map.
CLEARED_MACHINES - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The dataset is about different computers' properties based on https://archive.ics.uci.edu/ml/datasets/Computer+Hardware.
ClientKubernetesPutGetExample - Class in org.apache.ignite.examples.client: Demonstrates how to use Ignite thin client within the Kubernetes cluster using KubernetesConnectionConfiguration.
ClientKubernetesPutGetExample() - Constructor for class org.apache.ignite.examples.client.ClientKubernetesPutGetExample
ClientPutGetExample - Class in org.apache.ignite.examples.client: Demonstrates how to use Ignite thin client for basic put/get cache operations.
ClientPutGetExample() - Constructor for class org.apache.ignite.examples.client.ClientPutGetExample
ClusterGroupExample - Class in org.apache.ignite.examples.cluster: Demonstrates new functional APIs.
ClusterGroupExample() - Constructor for class org.apache.ignite.examples.cluster.ClusterGroupExample
CompoundNaiveBayesExample - Class in org.apache.ignite.examples.ml.naivebayes: Run naive Compound Bayes classification model based on Nnaive Bayes classifier algorithm (GaussianNaiveBayesTrainer)and Discrete naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.
CompoundNaiveBayesExample() - Constructor for class org.apache.ignite.examples.ml.naivebayes.CompoundNaiveBayesExample
CompoundNaiveBayesExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run naive Compound Bayes classification model based on Nnaive Bayes classifier algorithm (GaussianNaiveBayesTrainer)and Discrete naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.
CompoundNaiveBayesExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.CompoundNaiveBayesExportImportExample
ComputeAsyncExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of IgniteRunnable.
ComputeAsyncExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeAsyncExample
ComputeBroadcastExample - Class in org.apache.ignite.examples.computegrid: Demonstrates broadcasting computations within cluster.
ComputeBroadcastExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeBroadcastExample
ComputeCallableExample - Class in org.apache.ignite.examples.computegrid: Demonstrates using of IgniteCallable job execution on the cluster.
ComputeCallableExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeCallableExample
ComputeClientBinaryTaskExecutionExample - Class in org.apache.ignite.examples.binary.computegrid: This example demonstrates use of binary objects with task execution.
ComputeClientBinaryTaskExecutionExample() - Constructor for class org.apache.ignite.examples.binary.computegrid.ComputeClientBinaryTaskExecutionExample
ComputeClientTask - Class in org.apache.ignite.examples.binary.computegrid: Task that is used for ComputeClientBinaryTaskExecutionExample and similar examples in .NET and C++.
ComputeClientTask() - Constructor for class org.apache.ignite.examples.binary.computegrid.ComputeClientTask
ComputeClosureExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of Ignite with reduce closure.
ComputeClosureExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeClosureExample
ComputeContinuousMapperExample - Class in org.apache.ignite.examples.computegrid: Demonstrates usage of continuous mapper.
ComputeContinuousMapperExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeContinuousMapperExample
ComputeFailoverExample - Class in org.apache.ignite.examples.computegrid.failover: Demonstrates the usage of checkpoints in Ignite.
ComputeFailoverExample() - Constructor for class org.apache.ignite.examples.computegrid.failover.ComputeFailoverExample
ComputeFailoverNodeStartup - Class in org.apache.ignite.examples.computegrid.failover: Starts up an empty node with checkpoint-enabled configuration.
ComputeFailoverNodeStartup() - Constructor for class org.apache.ignite.examples.computegrid.failover.ComputeFailoverNodeStartup
ComputeFibonacciContinuationExample - Class in org.apache.ignite.examples.computegrid: This example demonstrates how to use continuation feature of Ignite by performing the distributed recursive calculation of 'Fibonacci' numbers on the cluster.
ComputeFibonacciContinuationExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeFibonacciContinuationExample
ComputeReducerExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of Ignite with reduce closure.
ComputeReducerExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeReducerExample
ComputeRunnableExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of IgniteRunnable.
ComputeRunnableExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeRunnableExample
ComputeTaskMapExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of Ignite with ComputeTaskAdapter.
ComputeTaskMapExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeTaskMapExample
ComputeTaskSplitExample - Class in org.apache.ignite.examples.computegrid: Demonstrates a simple use of Ignite with ComputeTaskSplitAdapter.
ComputeTaskSplitExample() - Constructor for class org.apache.ignite.examples.computegrid.ComputeTaskSplitExample
configuration() - Static method in class org.apache.ignite.examples.computegrid.failover.ComputeFailoverNodeStartup: Create Ignite configuration with configured checkpoints.
configuration() - Static method in class org.apache.ignite.examples.misc.client.memcache.MemcacheRestExampleNodeStartup: Create Ignite configuration with enabled IPC.
Credit - Class in org.apache.ignite.examples.computegrid.montecarlo: This class provides a simple model for a credit contract (or a loan).
Credit(double, int, double, double) - Constructor for class org.apache.ignite.examples.computegrid.montecarlo.Credit: Creates new credit instance with given information.
CreditRiskExample - Class in org.apache.ignite.examples.computegrid.montecarlo: Monte-Carlo example.
CreditRiskExample() - Constructor for class org.apache.ignite.examples.computegrid.montecarlo.CreditRiskExample
CreditRiskManager - Class in org.apache.ignite.examples.computegrid.montecarlo: This class abstracts out the calculation of risk for a credit portfolio.
CreditRiskManager() - Constructor for class org.apache.ignite.examples.computegrid.montecarlo.CreditRiskManager
CrossValidationExample - Class in org.apache.ignite.examples.ml.selection.cv: Run decision tree classification with cross validation (CrossValidation).
CrossValidationExample() - Constructor for class org.apache.ignite.examples.ml.selection.cv.CrossValidationExample
CustomersClusterizationExample - Class in org.apache.ignite.examples.ml.clustering: Example of using KMeans clusterization to determine the optimal count of clusters in data.
CustomersClusterizationExample() - Constructor for class org.apache.ignite.examples.ml.clustering.CustomersClusterizationExample

D

DataRegionsExample - Class in org.apache.ignite.examples.datagrid: This example demonstrates how to tweak particular settings of Apache Ignite page memory using DataStorageConfiguration and set up several data regions for different caches with DataRegionConfiguration.
DataRegionsExample() - Constructor for class org.apache.ignite.examples.datagrid.DataRegionsExample
DatasetHelper - Class in org.apache.ignite.examples.ml.util: Common utility code used in some ML examples to report some statistic metrics of the dataset.
DatasetHelper(SimpleDataset) - Constructor for class org.apache.ignite.examples.ml.util.DatasetHelper
DbH2ServerStartup - Class in org.apache.ignite.examples.util: Start H2 database TCP server in order to access sample in-memory database from other processes.
DbH2ServerStartup() - Constructor for class org.apache.ignite.examples.util.DbH2ServerStartup
DecisionTreeClassificationExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example of using distributed DecisionTreeClassificationTrainer.
DecisionTreeClassificationExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.DecisionTreeClassificationExportImportExample
DecisionTreeClassificationTrainerExample - Class in org.apache.ignite.examples.ml.tree: Example of using distributed DecisionTreeClassificationTrainer.
DecisionTreeClassificationTrainerExample() - Constructor for class org.apache.ignite.examples.ml.tree.DecisionTreeClassificationTrainerExample
DecisionTreeClassificationTrainerSQLInferenceExample - Class in org.apache.ignite.examples.ml.sql: Example of using distributed DecisionTreeClassificationTrainer on a data stored in SQL table and inference made as SQL select query.
DecisionTreeClassificationTrainerSQLInferenceExample() - Constructor for class org.apache.ignite.examples.ml.sql.DecisionTreeClassificationTrainerSQLInferenceExample
DecisionTreeClassificationTrainerSQLTableExample - Class in org.apache.ignite.examples.ml.sql: Example of using distributed DecisionTreeClassificationTrainer on a data stored in SQL table.
DecisionTreeClassificationTrainerSQLTableExample() - Constructor for class org.apache.ignite.examples.ml.sql.DecisionTreeClassificationTrainerSQLTableExample
DecisionTreeFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run Decision Tree model loaded from snappy.parquet file.
DecisionTreeFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeFromSparkExample
DecisionTreeRegressionExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example of using distributed DecisionTreeRegressionTrainer.
DecisionTreeRegressionExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.DecisionTreeRegressionExportImportExample
DecisionTreeRegressionFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run Decision tree regression model loaded from snappy.parquet file.
DecisionTreeRegressionFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeRegressionFromSparkExample
DecisionTreeRegressionTrainerExample - Class in org.apache.ignite.examples.ml.tree: Example of using distributed DecisionTreeRegressionTrainer.
DecisionTreeRegressionTrainerExample() - Constructor for class org.apache.ignite.examples.ml.tree.DecisionTreeRegressionTrainerExample
delete(Object) - Method in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcPersonStore
departments() - Method in class org.apache.ignite.examples.model.Employee
DeploymentExample - Class in org.apache.ignite.examples.misc.deployment: Demonstrates how to explicitly deploy a task.
DeploymentExample() - Constructor for class org.apache.ignite.examples.misc.deployment.DeploymentExample
DeploymentExample.ExampleTask - Class in org.apache.ignite.examples.misc.deployment: Example task used to demonstrate direct task deployment through API.
describe() - Method in class org.apache.ignite.examples.ml.util.DatasetHelper
DimProduct - Class in org.apache.ignite.examples.datagrid.starschema: Represents a product available for purchase.
DimProduct(int, String, float, int) - Constructor for class org.apache.ignite.examples.datagrid.starschema.DimProduct: Constructs a product instance.
DimStore - Class in org.apache.ignite.examples.datagrid.starschema: Represents a physical store location.
DimStore(int, String, String, String) - Constructor for class org.apache.ignite.examples.datagrid.starschema.DimStore: Constructs a store instance.
DiscreteNaiveBayesExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run naive Bayes classification model based on naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.
DiscreteNaiveBayesExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.DiscreteNaiveBayesExportImportExample
DiscreteNaiveBayesTrainerExample - Class in org.apache.ignite.examples.ml.naivebayes: Run naive Bayes classification model based on naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.
DiscreteNaiveBayesTrainerExample() - Constructor for class org.apache.ignite.examples.ml.naivebayes.DiscreteNaiveBayesTrainerExample

E

Employee - Class in org.apache.ignite.examples.model: This class represents employee object.
Employee() - Constructor for class org.apache.ignite.examples.model.Employee: Required for binary deserialization.
Employee(String, long, Address, Collection<String>) - Constructor for class org.apache.ignite.examples.model.Employee
EmployeeKey - Class in org.apache.ignite.examples.model: This class represents key for employee object.
EmployeeKey() - Constructor for class org.apache.ignite.examples.model.EmployeeKey: Required for binary deserialization.
EmployeeKey(int, int) - Constructor for class org.apache.ignite.examples.model.EmployeeKey
EMPTY_ARGS_ML - Static variable in class org.apache.ignite.examples.ml.util.MLExamplesCommonArgs: Empty args for ML examples.
EncoderExample - Class in org.apache.ignite.examples.ml.preprocessing.encoding: Example that shows how to use String Encoder preprocessor to encode features presented as a strings.
EncoderExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.encoding.EncoderExample
EncoderExampleWithNormalization - Class in org.apache.ignite.examples.ml.preprocessing.encoding: Example that shows how to combine together two preprocessors: String Encoder preprocessor to encode features presented as a strings and Normalizer to normalize data presented as doubles.
EncoderExampleWithNormalization() - Constructor for class org.apache.ignite.examples.ml.preprocessing.encoding.EncoderExampleWithNormalization
EncryptedCacheExample - Class in org.apache.ignite.examples.encryption: This example demonstrates the usage of Apache Ignite Persistent Store.
EncryptedCacheExample() - Constructor for class org.apache.ignite.examples.encryption.EncryptedCacheExample
ENGLISH_VS_SCOTTISH - org.apache.ignite.examples.ml.util.MLSandboxDatasets: Example from book Barber D.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeRegressionFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTRegressionFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.KMeansFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.LinearRegressionFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.LogRegFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestRegressionFromSparkExample: Learning environment.
env - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.SVMFromSparkExample: Learning environment.
equals(Object) - Method in class org.apache.ignite.examples.model.EmployeeKey
EvaluatorExample - Class in org.apache.ignite.examples.ml.selection.scoring: Run SVM classification trainer (SVMLinearClassificationTrainer) over distributed dataset.
EvaluatorExample() - Constructor for class org.apache.ignite.examples.ml.selection.scoring.EvaluatorExample
EventsExample - Class in org.apache.ignite.examples.events: Demonstrates event consume API that allows to register event listeners on remote nodes.
EventsExample() - Constructor for class org.apache.ignite.examples.events.EventsExample
ExampleNodeStartup - Class in org.apache.ignite.examples: Starts up an empty node with example compute configuration.
ExampleNodeStartup() - Constructor for class org.apache.ignite.examples.ExampleNodeStartup
ExamplesUtils - Class in org.apache.ignite.examples
ExamplesUtils() - Constructor for class org.apache.ignite.examples.ExamplesUtils
ExampleTask() - Constructor for class org.apache.ignite.examples.misc.deployment.DeploymentExample.ExampleTask
execute() - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl

F

FactPurchase - Class in org.apache.ignite.examples.datagrid.starschema: Represents a purchase record.
FactPurchase(int, int, int, float) - Constructor for class org.apache.ignite.examples.datagrid.starschema.FactPurchase: Constructs a purchase record.
fillCacheWith(double[][]) - Method in class org.apache.ignite.examples.ml.util.SandboxMLCache: Fills cache with data and returns it.
fillCacheWith(MLSandboxDatasets) - Method in class org.apache.ignite.examples.ml.util.SandboxMLCache: Fills cache with data and returns it.
fillObjectCacheWithCategoricalData(MLSandboxDatasets) - Method in class org.apache.ignite.examples.ml.util.SandboxMLCache: Fills cache with data and returns it.
fillObjectCacheWithDoubleLabels(MLSandboxDatasets) - Method in class org.apache.ignite.examples.ml.util.SandboxMLCache: Fills cache with data and returns it.
firstName - Variable in class org.apache.ignite.examples.model.Person: First name (not-indexed).
FRAUD_DETECTION - org.apache.ignite.examples.ml.util.MLSandboxDatasets: Fraud detection problem [part of whole dataset].
FraudDetectionExample - Class in org.apache.ignite.examples.ml.tree: Example of using classification algorithms for fraud detection problem.
FraudDetectionExample() - Constructor for class org.apache.ignite.examples.ml.tree.FraudDetectionExample

G

GaussianNaiveBayesExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run naive Bayes classification model based on naive Bayes classifier algorithm (GaussianNaiveBayesTrainer) over distributed cache.
GaussianNaiveBayesExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.GaussianNaiveBayesExportImportExample
GaussianNaiveBayesTrainerExample - Class in org.apache.ignite.examples.ml.naivebayes: Run naive Bayes classification model based on naive Bayes classifier algorithm (GaussianNaiveBayesTrainer) over distributed cache.
GaussianNaiveBayesTrainerExample() - Constructor for class org.apache.ignite.examples.ml.naivebayes.GaussianNaiveBayesTrainerExample
GBTFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run Gradient Boosted trees model loaded from snappy.parquet file.
GBTFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTFromSparkExample
GBTRegressionFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run GBT Regression model loaded from snappy.parquet file.
GBTRegressionFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTRegressionFromSparkExample
GDBOnTreesClassificationExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example represents a solution for the task of classification learning based on Gradient Boosting on trees implementation.
GDBOnTreesClassificationExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.GDBOnTreesClassificationExportImportExample
GDBOnTreesClassificationTrainerExample - Class in org.apache.ignite.examples.ml.tree.boosting: Example represents a solution for the task of classification learning based on Gradient Boosting on trees implementation.
GDBOnTreesClassificationTrainerExample() - Constructor for class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesClassificationTrainerExample
GDBOnTreesRegressionExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example represents a solution for the task of regression learning based on Gradient Boosting on trees implementation.
GDBOnTreesRegressionExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.GDBOnTreesRegressionExportImportExample
GDBOnTreesRegressionTrainerExample - Class in org.apache.ignite.examples.ml.tree.boosting: Example represents a solution for the task of regression learning based on Gradient Boosting on trees implementation.
GDBOnTreesRegressionTrainerExample() - Constructor for class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesRegressionTrainerExample
get(K) - Method in interface org.apache.ignite.examples.servicegrid.SimpleMapService: Gets value based on key.
get(K) - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl: Gets value based on key.
getAddress() - Method in class org.apache.ignite.examples.datagrid.starschema.DimStore: Gets store address.
getAge() - Method in class org.apache.ignite.examples.ml.dataset.model.Person
getFileName() - Method in enum org.apache.ignite.examples.ml.util.MLSandboxDatasets
getId() - Method in class org.apache.ignite.examples.datagrid.starschema.DimProduct: Gets product ID.
getId() - Method in class org.apache.ignite.examples.datagrid.starschema.DimStore: Gets store ID.
getId() - Method in class org.apache.ignite.examples.datagrid.starschema.FactPurchase: Gets purchase ID.
getName() - Method in class org.apache.ignite.examples.datagrid.starschema.DimProduct: Gets product name.
getName() - Method in class org.apache.ignite.examples.datagrid.starschema.DimStore: Gets store name.
getName() - Method in class org.apache.ignite.examples.ml.dataset.model.Person
getPrice() - Method in class org.apache.ignite.examples.datagrid.starschema.DimProduct: Gets product list price.
getProductId() - Method in class org.apache.ignite.examples.datagrid.starschema.FactPurchase: Gets purchased product ID.
getPurchasePrice() - Method in class org.apache.ignite.examples.datagrid.starschema.FactPurchase: Gets purchase price.
getQuantity() - Method in class org.apache.ignite.examples.datagrid.starschema.DimProduct: Gets available product quantity.
getSalary() - Method in class org.apache.ignite.examples.ml.dataset.model.Person
getSeparator() - Method in enum org.apache.ignite.examples.ml.util.MLSandboxDatasets
getStoreId() - Method in class org.apache.ignite.examples.datagrid.starschema.FactPurchase: Gets ID of store at which purchase was made.
getZip() - Method in class org.apache.ignite.examples.datagrid.starschema.DimStore: Gets store zip code.
GLASS_IDENTIFICATION - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The preprocessed Glass dataset from the Machine Learning Repository https://archive.ics.uci.edu/ml/datasets/Glass+Identification There are 3 classes with labels: 1 {building_windows_float_processed}, 3 {vehicle_windows_float_processed}, 7 {headlamps}.
GmmClusterizationExample - Class in org.apache.ignite.examples.ml.clustering: Example of using GMM clusterization algorithm.
GmmClusterizationExample() - Constructor for class org.apache.ignite.examples.ml.clustering.GmmClusterizationExample
GOVERNMENT - org.apache.ignite.examples.model.OrganizationType: Government organization.

H

H2OMojoModelParserExample - Class in org.apache.ignite.examples.ml.inference.h2o: This example demonstrates how to import H2O MOJO model and use imported model for distributed inference in Apache Ignite.
H2OMojoModelParserExample() - Constructor for class org.apache.ignite.examples.ml.inference.h2o.H2OMojoModelParserExample
hashCode() - Method in class org.apache.ignite.examples.model.EmployeeKey
hasHeader() - Method in enum org.apache.ignite.examples.ml.util.MLSandboxDatasets
hasServerNodes(Ignite) - Static method in class org.apache.ignite.examples.ExamplesUtils: Checks if cluster has server nodes.

I

id - Variable in class org.apache.ignite.examples.model.Person: Person ID (indexed).
id() - Method in class org.apache.ignite.examples.model.EmployeeKey
id() - Method in class org.apache.ignite.examples.model.Organization
IgniteAtomicLongExample - Class in org.apache.ignite.examples.datastructures: Demonstrates a simple usage of distributed atomic long.
IgniteAtomicLongExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteAtomicLongExample
IgniteAtomicReferenceExample - Class in org.apache.ignite.examples.datastructures: Demonstrates a simple usage of distributed atomic reference.
IgniteAtomicReferenceExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteAtomicReferenceExample
IgniteAtomicSequenceExample - Class in org.apache.ignite.examples.datastructures: Demonstrates a simple usage of distributed atomic sequence.
IgniteAtomicSequenceExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteAtomicSequenceExample
IgniteAtomicStampedExample - Class in org.apache.ignite.examples.datastructures: Demonstrates a simple usage of distributed atomic stamped.
IgniteAtomicStampedExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteAtomicStampedExample
IgniteCountDownLatchExample - Class in org.apache.ignite.examples.datastructures: Demonstrates a simple usage of distributed count down latch.
IgniteCountDownLatchExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteCountDownLatchExample
IgniteExecutorServiceExample - Class in org.apache.ignite.examples.datastructures: Simple example to demonstrate usage of distributed executor service provided by Ignite.
IgniteExecutorServiceExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteExecutorServiceExample
IgniteLockExample - Class in org.apache.ignite.examples.datastructures: This example demonstrates cache based reentrant lock.
IgniteLockExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteLockExample
IgniteModelDistributedInferenceExample - Class in org.apache.ignite.examples.ml.inference: This example is based on LinearRegressionLSQRTrainerExample, but to perform inference it uses an approach implemented in org.apache.ignite.ml.inference package.
IgniteModelDistributedInferenceExample() - Constructor for class org.apache.ignite.examples.ml.inference.IgniteModelDistributedInferenceExample
IgniteQueueExample - Class in org.apache.ignite.examples.datastructures: Ignite cache distributed queue example.
IgniteQueueExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteQueueExample
IgniteSemaphoreExample - Class in org.apache.ignite.examples.datastructures: This example demonstrates cache based semaphore.
IgniteSemaphoreExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteSemaphoreExample
IgniteSetExample - Class in org.apache.ignite.examples.datastructures: Ignite cache distributed set example.
IgniteSetExample() - Constructor for class org.apache.ignite.examples.datastructures.IgniteSetExample
ImputingExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use Imputing preprocessor to impute the missing value in the given data.
ImputingExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.ImputingExample
init() - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl
Instrument(String) - Constructor for class org.apache.ignite.examples.streaming.StreamVisitorExample.Instrument
IRIS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The full Iris dataset from Machine Learning Repository.
IrisClassificationExample - Class in org.apache.ignite.examples.ml.knn: Example of using Knn model in Apache Ignite for iris class predicion.
IrisClassificationExample() - Constructor for class org.apache.ignite.examples.ml.knn.IrisClassificationExample
isStarted() - Method in class org.apache.ignite.examples.misc.lifecycle.LifecycleExample.LifecycleExampleBean

K

key() - Method in class org.apache.ignite.examples.model.Person: Gets cache affinity key.
KMeansClusterizationExample - Class in org.apache.ignite.examples.ml.clustering: Run KMeans clustering algorithm (KMeansTrainer) over distributed dataset.
KMeansClusterizationExample() - Constructor for class org.apache.ignite.examples.ml.clustering.KMeansClusterizationExample
KMeansClusterizationExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run KMeans clustering algorithm (KMeansTrainer) over distributed dataset.
KMeansClusterizationExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.KMeansClusterizationExportImportExample
KMeansFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run KMeans model loaded from snappy.parquet file.
KMeansFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.KMeansFromSparkExample
KNNClassificationExample - Class in org.apache.ignite.examples.ml.knn: Run kNN multi-class classification trainer (KNNClassificationTrainer) over distributed dataset.
KNNClassificationExample() - Constructor for class org.apache.ignite.examples.ml.knn.KNNClassificationExample
KNNRegressionExample - Class in org.apache.ignite.examples.ml.knn: Run kNN regression trainer (KNNRegressionTrainer) over distributed dataset.
KNNRegressionExample() - Constructor for class org.apache.ignite.examples.ml.knn.KNNRegressionExample

L

LabelEncoderExample - Class in org.apache.ignite.examples.ml.preprocessing.encoding: Example that shows how to use Label Encoder preprocessor to encode labels presented as a strings.
LabelEncoderExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.encoding.LabelEncoderExample
lastName - Variable in class org.apache.ignite.examples.model.Person: Last name (not indexed).
lastUpdated() - Method in class org.apache.ignite.examples.model.Organization
LifecycleExample - Class in org.apache.ignite.examples.misc.lifecycle: This example shows how to provide your own LifecycleBean implementation to be able to hook into Ignite lifecycle.
LifecycleExample() - Constructor for class org.apache.ignite.examples.misc.lifecycle.LifecycleExample
LifecycleExample.LifecycleExampleBean - Class in org.apache.ignite.examples.misc.lifecycle: Simple LifecycleBean implementation that outputs event type when it is occurred.
LifecycleExampleBean() - Constructor for class org.apache.ignite.examples.misc.lifecycle.LifecycleExample.LifecycleExampleBean
LinearRegressionExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run linear regression model based on LSQR algorithm (LinearRegressionLSQRTrainer) over cached dataset.
LinearRegressionExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.LinearRegressionExportImportExample
LinearRegressionFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run linear regression model loaded from snappy.parquet file.
LinearRegressionFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.LinearRegressionFromSparkExample
LinearRegressionLSQRTrainerExample - Class in org.apache.ignite.examples.ml.regression.linear: Run linear regression model based on LSQR algorithm (LinearRegressionLSQRTrainer) over cached dataset.
LinearRegressionLSQRTrainerExample() - Constructor for class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerExample
LinearRegressionLSQRTrainerWithMinMaxScalerExample - Class in org.apache.ignite.examples.ml.regression.linear: Run linear regression model based on LSQR algorithm (LinearRegressionLSQRTrainer) over cached dataset that was created using a minmaxscaling preprocessor (MinMaxScalerTrainer, MinMaxScalerPreprocessor).
LinearRegressionLSQRTrainerWithMinMaxScalerExample() - Constructor for class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerWithMinMaxScalerExample
LinearRegressionSGDTrainerExample - Class in org.apache.ignite.examples.ml.regression.linear: Run linear regression model based on based on stochastic gradient descent algorithm (LinearRegressionSGDTrainer) over cached dataset.
LinearRegressionSGDTrainerExample() - Constructor for class org.apache.ignite.examples.ml.regression.linear.LinearRegressionSGDTrainerExample
load(Long) - Method in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcPersonStore
loadCache(IgniteBiInClosure<Long, Person>, Object...) - Method in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcPersonStore
loadDataset(MLSandboxDatasets) - Method in class org.apache.ignite.examples.ml.util.SandboxMLCache: Loads dataset as a list of rows.
LogisticRegressionExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run logistic regression model based on stochastic gradient descent algorithm (LogisticRegressionSGDTrainer) over distributed cache.
LogisticRegressionExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.LogisticRegressionExportImportExample
LogisticRegressionSGDTrainerExample - Class in org.apache.ignite.examples.ml.regression.logistic.binary: Run logistic regression model based on stochastic gradient descent algorithm (LogisticRegressionSGDTrainer) over distributed cache.
LogisticRegressionSGDTrainerExample() - Constructor for class org.apache.ignite.examples.ml.regression.logistic.binary.LogisticRegressionSGDTrainerExample
LogRegFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run logistic regression model loaded from snappy.parquet file.
LogRegFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.LogRegFromSparkExample
LogRegFromSparkThroughPMMLExample - Class in org.apache.ignite.examples.ml.inference.spark: Run logistic regression model loaded from PMML file.
LogRegFromSparkThroughPMMLExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.LogRegFromSparkThroughPMMLExample

M

main(String[]) - Static method in class org.apache.ignite.examples.binary.computegrid.ComputeClientBinaryTaskExecutionExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.binary.datagrid.CacheClientBinaryPutGetExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.binary.datagrid.CacheClientBinaryQueryExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.client.ClientKubernetesPutGetExample: Entry point.
main(String[]) - Static method in class org.apache.ignite.examples.client.ClientPutGetExample: Entry point.
main(String[]) - Static method in class org.apache.ignite.examples.cluster.ClusterGroupExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeAsyncExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeBroadcastExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeCallableExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeClosureExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeContinuousMapperExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeFibonacciContinuationExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeReducerExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeRunnableExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeTaskMapExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.ComputeTaskSplitExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.failover.ComputeFailoverExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.failover.ComputeFailoverNodeStartup: Start up an empty node with specified configuration.
main(String[]) - Static method in class org.apache.ignite.examples.computegrid.montecarlo.CreditRiskExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheAffinityExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheApiExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheAsyncApiExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheContinuousAsyncQueryExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheContinuousQueryExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheContinuousQueryWithTransformerExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheDataStreamerExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheEntryProcessorExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheEventsExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CachePutGetExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheQueryExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.CacheTransactionExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.DataRegionsExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.starschema.CacheStarSchemaExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.store.auto.CacheAutoStoreExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.store.CacheLoadOnlyStoreExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcStoreExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteAtomicLongExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteAtomicReferenceExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteAtomicSequenceExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteAtomicStampedExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteCountDownLatchExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteExecutorServiceExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteLockExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteQueueExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteSemaphoreExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.datastructures.IgniteSetExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.encryption.EncryptedCacheExample
main(String[]) - Static method in class org.apache.ignite.examples.events.EventsExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ExampleNodeStartup: Start up an empty node with example compute configuration.
main(String[]) - Static method in class org.apache.ignite.examples.messaging.MessagingExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.messaging.MessagingPingPongExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.messaging.MessagingPingPongListenActorExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.misc.client.memcache.MemcacheRestExample
main(String[]) - Static method in class org.apache.ignite.examples.misc.client.memcache.MemcacheRestExampleNodeStartup: Start up an empty node with specified cache configuration.
main(String[]) - Static method in class org.apache.ignite.examples.misc.deployment.DeploymentExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.misc.lifecycle.LifecycleExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.misc.springbean.SpringBeanExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.clustering.CustomersClusterizationExample: Runs example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.clustering.GmmClusterizationExample: Runs example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.clustering.KMeansClusterizationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.dataset.AlgorithmSpecificDatasetExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.dataset.CacheBasedDatasetExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.environment.TrainingWithCustomPreprocessorsExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.catboost.CatboostClassificationModelParserExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.catboost.CatboostRegressionModelParserExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.ANNClassificationExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.CompoundNaiveBayesExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.DecisionTreeClassificationExportImportExample: Executes example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.exchange.DecisionTreeRegressionExportImportExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.DiscreteNaiveBayesExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.GaussianNaiveBayesExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.GDBOnTreesClassificationExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.GDBOnTreesRegressionExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.KMeansClusterizationExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.LinearRegressionExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.LogisticRegressionExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.RandomForestClassificationExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.RandomForestRegressionExportImportExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.exchange.SVMExportImportExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.h2o.H2OMojoModelParserExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.IgniteModelDistributedInferenceExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.ModelStorageExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.LogRegFromSparkThroughPMMLExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeRegressionFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTRegressionFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.KMeansFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.LinearRegressionFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.LogRegFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestRegressionFromSparkExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.inference.spark.modelparser.SVMFromSparkExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.inference.xgboost.XGBoostModelParserExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.knn.ANNClassificationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.knn.IrisClassificationExample: Runs example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.knn.KNNClassificationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.knn.KNNRegressionExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.multiclass.OneVsRestClassificationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.naivebayes.CompoundNaiveBayesExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.naivebayes.DiscreteNaiveBayesTrainerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.naivebayes.GaussianNaiveBayesTrainerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.nn.MLPTrainerExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.BinarizationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.encoding.EncoderExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.encoding.EncoderExampleWithNormalization: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.encoding.LabelEncoderExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.encoding.TargetEncoderExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.ImputingExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.MaxAbsScalerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.MinMaxScalerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.NormalizationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.preprocessing.StandardScalerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.recommendation.MovieLensExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.recommendation.MovieLensSQLExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.linear.BostonHousePricesPredictionExample: Runs example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.linear.LinearRegressionLSQRTrainerWithMinMaxScalerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.linear.LinearRegressionSGDTrainerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.logistic.bagged.BaggedLogisticRegressionSGDTrainerExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.regression.logistic.binary.LogisticRegressionSGDTrainerExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.selection.cv.CrossValidationExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.selection.scoring.EvaluatorExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.selection.scoring.RegressionMetricExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.selection.split.TrainTestDatasetSplitterExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.sql.DecisionTreeClassificationTrainerSQLInferenceExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.sql.DecisionTreeClassificationTrainerSQLTableExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.svm.SVMBinaryClassificationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesClassificationTrainerExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.tree.boosting.GDBOnTreesRegressionTrainerExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.tree.DecisionTreeClassificationTrainerExample: Executes example.
main(String...) - Static method in class org.apache.ignite.examples.ml.tree.DecisionTreeRegressionTrainerExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tree.FraudDetectionExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tree.randomforest.RandomForestClassificationExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tree.randomforest.RandomForestRegressionExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_13_RandomSearch: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_14_Parallel_Brute_Force_Search: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_15_Parallel_Random_Search: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_16_Genetic_Programming_Search: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_17_Parallel_Genetic_Programming_Search: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_1_Read_and_Learn: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_10_Bagging: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_11_Boosting: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_12_Model_Update: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_2_Imputing: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_3_Categorial_with_One_Hot_Encoder: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_3_Categorial: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_4_Add_age_fare: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_5_Scaling_with_Pipeline: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_5_Scaling: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_6_KNN: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_7_Split_train_test: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_8_CV_with_Param_Grid_and_pipeline: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_8_CV_with_Param_Grid: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_8_CV: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.tutorial.Step_9_Scaling_With_Stacking: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.util.generators.ParametricVectorGeneratorExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.util.generators.StandardGeneratorsExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.ml.util.generators.VectorGeneratorFamilyExample: Run example.
main(String...) - Static method in class org.apache.ignite.examples.ml.util.generators.VectorGeneratorPrimitivesExample: Run example.
main(String[]) - Static method in class org.apache.ignite.examples.opencensus.OpenCensusMetricsExporterExample
main(String[]) - Static method in class org.apache.ignite.examples.persistentstore.PersistentStoreExample
main(String[]) - Static method in class org.apache.ignite.examples.persistentstore.PersistentStoreExampleNodeStartup
main(String[]) - Static method in class org.apache.ignite.examples.servicegrid.ServiceMiddlewareExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.servicegrid.ServicesExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.sql.SqlDdlExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.sql.SqlDmlExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.sql.SqlJdbcCopyExample: Executes JDBC COPY example.
main(String[]) - Static method in class org.apache.ignite.examples.sql.SqlJdbcExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.sql.SqlQueriesExample: Executes example.
main(String[]) - Static method in class org.apache.ignite.examples.streaming.StreamTransformerExample
main(String[]) - Static method in class org.apache.ignite.examples.streaming.StreamVisitorExample
main(String[]) - Static method in class org.apache.ignite.examples.streaming.wordcount.QueryWords: Schedules words query execution.
main(String[]) - Static method in class org.apache.ignite.examples.streaming.wordcount.socket.WordsSocketStreamerClient
main(String[]) - Static method in class org.apache.ignite.examples.streaming.wordcount.socket.WordsSocketStreamerServer: Starts socket streaming server.
main(String[]) - Static method in class org.apache.ignite.examples.streaming.wordcount.StreamWords: Starts words streaming.
main(String[]) - Static method in class org.apache.ignite.examples.util.DbH2ServerStartup: Start H2 database TCP server.
MaxAbsScalerExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use MaxAbsScaler preprocessor to scale the given data.
MaxAbsScalerExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.MaxAbsScalerExample
MemcacheRestExample - Class in org.apache.ignite.examples.misc.client.memcache: This example shows how to use Memcache client for manipulating Ignite cache.
MemcacheRestExample() - Constructor for class org.apache.ignite.examples.misc.client.memcache.MemcacheRestExample
MemcacheRestExampleNodeStartup - Class in org.apache.ignite.examples.misc.client.memcache: Starts up an empty node with cache configuration that contains default cache.
MemcacheRestExampleNodeStartup() - Constructor for class org.apache.ignite.examples.misc.client.memcache.MemcacheRestExampleNodeStartup
MessagingExample - Class in org.apache.ignite.examples.messaging: Example that demonstrates how to exchange messages between nodes.
MessagingExample() - Constructor for class org.apache.ignite.examples.messaging.MessagingExample
MessagingPingPongExample - Class in org.apache.ignite.examples.messaging: Demonstrates simple message exchange between local and remote nodes.
MessagingPingPongExample() - Constructor for class org.apache.ignite.examples.messaging.MessagingPingPongExample
MessagingPingPongListenActorExample - Class in org.apache.ignite.examples.messaging: Demonstrates messaging with MessagingListenActor convenience adapter.
MessagingPingPongListenActorExample() - Constructor for class org.apache.ignite.examples.messaging.MessagingPingPongListenActorExample
MIN_MEMORY - Static variable in class org.apache.ignite.examples.datagrid.CacheDataStreamerExample: Heap size required to run this example.
MIN_MEMORY - Static variable in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcStoreExample: Heap size required to run this example.
MinMaxScalerExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use MinMaxScaler preprocessor to scale the given data.
MinMaxScalerExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.MinMaxScalerExample
MIXED_DATASET - org.apache.ignite.examples.ml.util.MLSandboxDatasets: A dataset with discrete and continuous features.
MLExamplesCommonArgs - Class in org.apache.ignite.examples.ml.util: Some common arguments for examples in ML module.
MLExamplesCommonArgs() - Constructor for class org.apache.ignite.examples.ml.util.MLExamplesCommonArgs
MLPTrainerExample - Class in org.apache.ignite.examples.ml.nn: Example of using distributed MultilayerPerceptron.
MLPTrainerExample() - Constructor for class org.apache.ignite.examples.ml.nn.MLPTrainerExample
MLSandboxDatasets - Enum in org.apache.ignite.examples.ml.util: The names of popular datasets used in examples.
ModelStorageExample - Class in org.apache.ignite.examples.ml.inference: This example demonstrates how to work with ModelStorage.
ModelStorageExample() - Constructor for class org.apache.ignite.examples.ml.inference.ModelStorageExample
MORTALITY_DATA - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The health data is related to death rate based on; doctor availability, hospital availability, annual per capita income, and population density people per square mile.
MOVIELENS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: Movielens dataset with ratings.
MovieLensExample - Class in org.apache.ignite.examples.ml.recommendation: Example of recommendation system based on MovieLens dataset (see https://grouplens.org/datasets/movielens/).
MovieLensExample() - Constructor for class org.apache.ignite.examples.ml.recommendation.MovieLensExample
MovieLensSQLExample - Class in org.apache.ignite.examples.ml.recommendation: Example of recommendation system based on MovieLens dataset (see https://grouplens.org/datasets/movielens/) and SQL.
MovieLensSQLExample() - Constructor for class org.apache.ignite.examples.ml.recommendation.MovieLensSQLExample
MUSHROOMS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: A dataset with categorical features and labels.

N

name() - Method in class org.apache.ignite.examples.model.Employee
name() - Method in class org.apache.ignite.examples.model.Organization
NON_PROFIT - org.apache.ignite.examples.model.OrganizationType: Non-profit organization.
NormalizationExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use normalization preprocessor to normalize each vector in the given data.
NormalizationExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.NormalizationExample

O

OneVsRestClassificationExample - Class in org.apache.ignite.examples.ml.multiclass: Run One-vs-Rest multi-class classification trainer (OneVsRestTrainer) parametrized by binary SVM classifier (SVMLinearClassificationTrainer) over distributed dataset to build two models: one with min-max scaling and one without min-max scaling.
OneVsRestClassificationExample() - Constructor for class org.apache.ignite.examples.ml.multiclass.OneVsRestClassificationExample
onLifecycleEvent(LifecycleEventType) - Method in class org.apache.ignite.examples.misc.lifecycle.LifecycleExample.LifecycleExampleBean
OpenCensusMetricsExporterExample - Class in org.apache.ignite.examples.opencensus: This example demonstrates usage of the `ignite-opencensus` integration module.
OpenCensusMetricsExporterExample() - Constructor for class org.apache.ignite.examples.opencensus.OpenCensusMetricsExporterExample
ORG_SALARY_IDX - Static variable in class org.apache.ignite.examples.model.Person: Name of index by two fields (orgId, salary).
org.apache.ignite.examples - package org.apache.ignite.examples: Basic examples for ignite functionality.
org.apache.ignite.examples.binary - package org.apache.ignite.examples.binary: Contains Ignite Binary objects classes and examples.
org.apache.ignite.examples.binary.computegrid - package org.apache.ignite.examples.binary.computegrid: Demonstrates the usage of binary objects with task execution.
org.apache.ignite.examples.binary.datagrid - package org.apache.ignite.examples.binary.datagrid: Demonstrates the usage of binary objects with cache.
org.apache.ignite.examples.client - package org.apache.ignite.examples.client
org.apache.ignite.examples.cluster - package org.apache.ignite.examples.cluster: Cluster group example.
org.apache.ignite.examples.computegrid - package org.apache.ignite.examples.computegrid: Basic examples for computational ignite functionality.
org.apache.ignite.examples.computegrid.failover - package org.apache.ignite.examples.computegrid.failover: Compute failover example.
org.apache.ignite.examples.computegrid.montecarlo - package org.apache.ignite.examples.computegrid.montecarlo: Monte-Carlo simulation example.
org.apache.ignite.examples.datagrid - package org.apache.ignite.examples.datagrid: Demonstrates data ignite cache usage.
org.apache.ignite.examples.datagrid.starschema - package org.apache.ignite.examples.datagrid.starschema: Demonstrates distributed SQL joins over ignite using Snowflake schema.
org.apache.ignite.examples.datagrid.store - package org.apache.ignite.examples.datagrid.store: Demonstrates using of cache store.
org.apache.ignite.examples.datagrid.store.auto - package org.apache.ignite.examples.datagrid.store.auto: Contains automatic JDBC store example.
org.apache.ignite.examples.datagrid.store.jdbc - package org.apache.ignite.examples.datagrid.store.jdbc: Contains JDBC-based cache store implementation.
org.apache.ignite.examples.datastructures - package org.apache.ignite.examples.datastructures: Demonstrates using of blocking and non-blocking queues and atomic data structures.
org.apache.ignite.examples.encryption - package org.apache.ignite.examples.encryption
org.apache.ignite.examples.events - package org.apache.ignite.examples.events: Demonstrates events management API.
org.apache.ignite.examples.messaging - package org.apache.ignite.examples.messaging: Demonstrates how to exchange messages between nodes.
org.apache.ignite.examples.misc - package org.apache.ignite.examples.misc: Contains examples taht are common across all editions.
org.apache.ignite.examples.misc.client - package org.apache.ignite.examples.misc.client: Demonstrates Java Client usage.
org.apache.ignite.examples.misc.client.memcache - package org.apache.ignite.examples.misc.client.memcache: Demonstrates Java Client usage with Memcache protocol.
org.apache.ignite.examples.misc.deployment - package org.apache.ignite.examples.misc.deployment: Deployment examples for direct deployments.
org.apache.ignite.examples.misc.lifecycle - package org.apache.ignite.examples.misc.lifecycle: Demonstrates how to write and use lifecycle beans.
org.apache.ignite.examples.misc.springbean - package org.apache.ignite.examples.misc.springbean: HelloWorld example that accesses ignite started directly from Spring bean.
org.apache.ignite.examples.ml - package org.apache.ignite.examples.ml: Machine learning examples.
org.apache.ignite.examples.ml.clustering - package org.apache.ignite.examples.ml.clustering: ML clustering examples.
org.apache.ignite.examples.ml.dataset - package org.apache.ignite.examples.ml.dataset: Machine learning dataset examples.
org.apache.ignite.examples.ml.dataset.model - package org.apache.ignite.examples.ml.dataset.model: Models used in machine learning dataset examples.
org.apache.ignite.examples.ml.environment - package org.apache.ignite.examples.ml.environment: This package contains examples of learning environment features.
org.apache.ignite.examples.ml.inference - package org.apache.ignite.examples.ml.inference: Model inference examples.
org.apache.ignite.examples.ml.inference.catboost - package org.apache.ignite.examples.ml.inference.catboost: XGBoost model inference examples.
org.apache.ignite.examples.ml.inference.exchange - package org.apache.ignite.examples.ml.inference.exchange
org.apache.ignite.examples.ml.inference.h2o - package org.apache.ignite.examples.ml.inference.h2o: H2O MOJO model inference examples.
org.apache.ignite.examples.ml.inference.spark - package org.apache.ignite.examples.ml.inference.spark: Model inference examples for Spark ML models.
org.apache.ignite.examples.ml.inference.spark.modelparser - package org.apache.ignite.examples.ml.inference.spark.modelparser: Model inference examples for Spark ML via Spark Model Parser.
org.apache.ignite.examples.ml.inference.xgboost - package org.apache.ignite.examples.ml.inference.xgboost: XGBoost model inference examples.
org.apache.ignite.examples.ml.knn - package org.apache.ignite.examples.ml.knn: kNN examples.
org.apache.ignite.examples.ml.multiclass - package org.apache.ignite.examples.ml.multiclass: Multi-class classification examples.
org.apache.ignite.examples.ml.naivebayes - package org.apache.ignite.examples.ml.naivebayes: ML naive Bayes classifier examples.
org.apache.ignite.examples.ml.nn - package org.apache.ignite.examples.ml.nn: ML neural network examples.
org.apache.ignite.examples.ml.preprocessing - package org.apache.ignite.examples.ml.preprocessing: Machine learning pre-processing examples.
org.apache.ignite.examples.ml.preprocessing.encoding - package org.apache.ignite.examples.ml.preprocessing.encoding: Machine learning encoding examples.
org.apache.ignite.examples.ml.recommendation - package org.apache.ignite.examples.ml.recommendation
org.apache.ignite.examples.ml.regression - package org.apache.ignite.examples.ml.regression: ML regression examples.
org.apache.ignite.examples.ml.regression.linear - package org.apache.ignite.examples.ml.regression.linear: ML linear regression examples.
org.apache.ignite.examples.ml.regression.logistic - package org.apache.ignite.examples.ml.regression.logistic: ML logistic regression examples.
org.apache.ignite.examples.ml.regression.logistic.bagged - package org.apache.ignite.examples.ml.regression.logistic.bagged: ML bagged logistic regression examples.
org.apache.ignite.examples.ml.regression.logistic.binary - package org.apache.ignite.examples.ml.regression.logistic.binary: ML binary logistic regression examples.
org.apache.ignite.examples.ml.selection - package org.apache.ignite.examples.ml.selection: ML model selection examples.
org.apache.ignite.examples.ml.selection.cv - package org.apache.ignite.examples.ml.selection.cv: ML cross validation examples.
org.apache.ignite.examples.ml.selection.scoring - package org.apache.ignite.examples.ml.selection.scoring
org.apache.ignite.examples.ml.selection.split - package org.apache.ignite.examples.ml.selection.split: ML dataset split examples.
org.apache.ignite.examples.ml.sql - package org.apache.ignite.examples.ml.sql: Example of using ML and SQL functionality together.
org.apache.ignite.examples.ml.svm - package org.apache.ignite.examples.ml.svm: SVM examples.
org.apache.ignite.examples.ml.tree - package org.apache.ignite.examples.ml.tree: Decision trees examples.
org.apache.ignite.examples.ml.tree.boosting - package org.apache.ignite.examples.ml.tree.boosting: Gradient Boosting On Trees examples.
org.apache.ignite.examples.ml.tree.randomforest - package org.apache.ignite.examples.ml.tree.randomforest: Random forest examples.
org.apache.ignite.examples.ml.tutorial - package org.apache.ignite.examples.ml.tutorial: Full ML Tutorial.
org.apache.ignite.examples.ml.tutorial.hyperparametertuning - package org.apache.ignite.examples.ml.tutorial.hyperparametertuning: Hyper-parameter tuning tutorial.
org.apache.ignite.examples.ml.util - package org.apache.ignite.examples.ml.util: Utilities for machine learning examples.
org.apache.ignite.examples.ml.util.generators - package org.apache.ignite.examples.ml.util.generators: Examples for data stream generators.
org.apache.ignite.examples.model - package org.apache.ignite.examples.model: Model classes for Apache Ignite examples.
org.apache.ignite.examples.opencensus - package org.apache.ignite.examples.opencensus
org.apache.ignite.examples.persistentstore - package org.apache.ignite.examples.persistentstore
org.apache.ignite.examples.servicegrid - package org.apache.ignite.examples.servicegrid: Demonstrates usage of grid-managed services.
org.apache.ignite.examples.sql - package org.apache.ignite.examples.sql: Demonstrates Ignite SQL API usage.
org.apache.ignite.examples.streaming - package org.apache.ignite.examples.streaming: Demonstrates usage of data streamer.
org.apache.ignite.examples.streaming.wordcount - package org.apache.ignite.examples.streaming.wordcount: Streaming word count example.
org.apache.ignite.examples.streaming.wordcount.socket - package org.apache.ignite.examples.streaming.wordcount.socket: Contains SocketStreamer usage examples.
org.apache.ignite.examples.util - package org.apache.ignite.examples.util: Contains utility classes for examples.
Organization - Class in org.apache.ignite.examples.model: This class represents organization object.
Organization() - Constructor for class org.apache.ignite.examples.model.Organization: Required for binary deserialization.
Organization(long, String) - Constructor for class org.apache.ignite.examples.model.Organization
Organization(String) - Constructor for class org.apache.ignite.examples.model.Organization
Organization(String, Address, OrganizationType, Timestamp) - Constructor for class org.apache.ignite.examples.model.Organization
organizationId() - Method in class org.apache.ignite.examples.model.EmployeeKey
OrganizationType - Enum in org.apache.ignite.examples.model: Organization type enum.
orgId - Variable in class org.apache.ignite.examples.model.Person: Organization ID (indexed).

P

ParametricVectorGeneratorExample - Class in org.apache.ignite.examples.ml.util.generators: Examples of using ParametricVectorGenerator for generating two dimensional data.
ParametricVectorGeneratorExample() - Constructor for class org.apache.ignite.examples.ml.util.generators.ParametricVectorGeneratorExample
PersistentStoreExample - Class in org.apache.ignite.examples.persistentstore: This example demonstrates the usage of Apache Ignite Persistent Store.
PersistentStoreExample() - Constructor for class org.apache.ignite.examples.persistentstore.PersistentStoreExample
PersistentStoreExampleNodeStartup - Class in org.apache.ignite.examples.persistentstore
PersistentStoreExampleNodeStartup() - Constructor for class org.apache.ignite.examples.persistentstore.PersistentStoreExampleNodeStartup
Person - Class in org.apache.ignite.examples.ml.dataset.model: Person model.
Person - Class in org.apache.ignite.examples.model: Person class.
Person() - Constructor for class org.apache.ignite.examples.model.Person: Default constructor.
Person(Long, Long, String, String, double, String) - Constructor for class org.apache.ignite.examples.model.Person: Constructs person record.
Person(Long, String, String) - Constructor for class org.apache.ignite.examples.model.Person: Constructs person record.
Person(String, double, double) - Constructor for class org.apache.ignite.examples.ml.dataset.model.Person: Constructs a new instance of person.
Person(Organization, String, String, double, String) - Constructor for class org.apache.ignite.examples.model.Person: Constructs person record.
populateDatabase() - Static method in class org.apache.ignite.examples.util.DbH2ServerStartup: Populate sample database.
printQueryResults(List<?>) - Static method in class org.apache.ignite.examples.ExamplesUtils: Convenience method for printing query results.
PRIVATE - org.apache.ignite.examples.model.OrganizationType: Private organization.
put(K, V) - Method in interface org.apache.ignite.examples.servicegrid.SimpleMapService: Puts key-value pair into map.
put(K, V) - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl: Puts key-value pair into map.

Q

QueryWords - Class in org.apache.ignite.examples.streaming.wordcount: Periodically query popular numbers from the streaming cache.
QueryWords() - Constructor for class org.apache.ignite.examples.streaming.wordcount.QueryWords

R

RandomForestClassificationExample - Class in org.apache.ignite.examples.ml.tree.randomforest: Example represents a solution for the task of wine classification based on a Random Forest implementation for multi-classification.
RandomForestClassificationExample() - Constructor for class org.apache.ignite.examples.ml.tree.randomforest.RandomForestClassificationExample
RandomForestClassificationExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example represents a solution for the task of wine classification based on a Random Forest implementation for multi-classification.
RandomForestClassificationExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.RandomForestClassificationExportImportExample
RandomForestFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run Random Forest model loaded from snappy.parquet file.
RandomForestFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestFromSparkExample
RandomForestRegressionExample - Class in org.apache.ignite.examples.ml.tree.randomforest: Example represents a solution for the task of price predictions for houses in Boston based on a Random Forest implementation for regression.
RandomForestRegressionExample() - Constructor for class org.apache.ignite.examples.ml.tree.randomforest.RandomForestRegressionExample
RandomForestRegressionExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Example represents a solution for the task of price predictions for houses in Boston based on a Random Forest implementation for regression.
RandomForestRegressionExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.RandomForestRegressionExportImportExample
RandomForestRegressionFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run Random Forest regression model loaded from snappy.parquet file.
RandomForestRegressionFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestRegressionFromSparkExample
readBinary(BinaryReader) - Method in class org.apache.ignite.examples.model.Address
readPassengers(Ignite) - Static method in class org.apache.ignite.examples.ml.tutorial.TitanicUtils: Read passengers data from csv file.
readPassengersWithoutNulls(Ignite) - Static method in class org.apache.ignite.examples.ml.tutorial.TitanicUtils: Read passengers data from csv file.
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.examples.binary.computegrid.ComputeClientTask
reduce(List<ComputeJobResult>) - Method in class org.apache.ignite.examples.misc.deployment.DeploymentExample.ExampleTask
REGION_30MB_MEMORY_MAPPED_FILE - Static variable in class org.apache.ignite.examples.datagrid.DataRegionsExample: Name of the data region that creates a memory region mapped to a memory-mapped file.
REGION_40MB_EVICTION - Static variable in class org.apache.ignite.examples.datagrid.DataRegionsExample: Name of the data region that creates a memory region limited by 40 MB with eviction enabled
REGION_DEFAULT - Static variable in class org.apache.ignite.examples.datagrid.DataRegionsExample: Name of the default data region defined in 'example-data-regions.xml'.
RegressionMetricExample - Class in org.apache.ignite.examples.ml.selection.scoring: Run kNN regression trainer (KNNRegressionTrainer) over distributed dataset.
RegressionMetricExample() - Constructor for class org.apache.ignite.examples.ml.selection.scoring.RegressionMetricExample
resume - Variable in class org.apache.ignite.examples.model.Person: Resume text (create LUCENE-based TEXT index for this field).

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salary - Variable in class org.apache.ignite.examples.model.Person: Salary (indexed).
salary() - Method in class org.apache.ignite.examples.model.Employee
SandboxMLCache - Class in org.apache.ignite.examples.ml.util: Common utility code used in some ML examples to set up test cache.
SandboxMLCache(Ignite) - Constructor for class org.apache.ignite.examples.ml.util.SandboxMLCache
ServiceMiddlewareExample - Class in org.apache.ignite.examples.servicegrid: The example shows how to add a middleware layer for distributed services in Ignite.
ServiceMiddlewareExample() - Constructor for class org.apache.ignite.examples.servicegrid.ServiceMiddlewareExample
ServicesExample - Class in org.apache.ignite.examples.servicegrid: Example that demonstrates how to deploy distributed services in Ignite.
ServicesExample() - Constructor for class org.apache.ignite.examples.servicegrid.ServicesExample
SimpleMapService<K,V> - Interface in org.apache.ignite.examples.servicegrid: Simple map service.
SimpleMapServiceImpl<K,V> - Class in org.apache.ignite.examples.servicegrid: Simple service which utilizes Ignite cache as a mechanism to provide distributed SimpleMapService functionality.
SimpleMapServiceImpl() - Constructor for class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl
size() - Method in interface org.apache.ignite.examples.servicegrid.SimpleMapService
size() - Method in class org.apache.ignite.examples.servicegrid.SimpleMapServiceImpl
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeFromSparkExample: Path to Spark DT model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.DecisionTreeRegressionFromSparkExample: Path to Spark Decision tree regression model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTFromSparkExample: Path to Spark LogReg model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.GBTRegressionFromSparkExample: Path to Spark GBT Regression model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.KMeansFromSparkExample: Path to Spark KMeans model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.LinearRegressionFromSparkExample: Path to Spark linear regression model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.LogRegFromSparkExample: Path to Spark LogReg model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestFromSparkExample: Path to Spark Random Forest model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.RandomForestRegressionFromSparkExample: Path to Spark Random Forest regression model.
SPARK_MDL_PATH - Static variable in class org.apache.ignite.examples.ml.inference.spark.modelparser.SVMFromSparkExample: Path to Spark SVM model.
split(int, String) - Method in class org.apache.ignite.examples.misc.deployment.DeploymentExample.ExampleTask
split(int, Collection<BinaryObject>) - Method in class org.apache.ignite.examples.binary.computegrid.ComputeClientTask
SpringBeanExample - Class in org.apache.ignite.examples.misc.springbean: Demonstrates a simple use of Ignite configured with Spring.
SpringBeanExample() - Constructor for class org.apache.ignite.examples.misc.springbean.SpringBeanExample
SqlDdlExample - Class in org.apache.ignite.examples.sql: Example to showcase DDL capabilities of Ignite's SQL engine.
SqlDdlExample() - Constructor for class org.apache.ignite.examples.sql.SqlDdlExample
SqlDmlExample - Class in org.apache.ignite.examples.sql: Example to showcase DML capabilities of Ignite's SQL engine.
SqlDmlExample() - Constructor for class org.apache.ignite.examples.sql.SqlDmlExample
SqlJdbcCopyExample - Class in org.apache.ignite.examples.sql: This example demonstrates usage of COPY command via Ignite thin JDBC driver.
SqlJdbcCopyExample() - Constructor for class org.apache.ignite.examples.sql.SqlJdbcCopyExample
SqlJdbcExample - Class in org.apache.ignite.examples.sql: This example demonstrates usage of Ignite JDBC driver.
SqlJdbcExample() - Constructor for class org.apache.ignite.examples.sql.SqlJdbcExample
SqlQueriesExample - Class in org.apache.ignite.examples.sql: SQL queries example with the usage of Java SQL API.
SqlQueriesExample() - Constructor for class org.apache.ignite.examples.sql.SqlQueriesExample
StandardGeneratorsExample - Class in org.apache.ignite.examples.ml.util.generators: Examples of using standard dataset generators.
StandardGeneratorsExample() - Constructor for class org.apache.ignite.examples.ml.util.generators.StandardGeneratorsExample
StandardScalerExample - Class in org.apache.ignite.examples.ml.preprocessing: Example that shows how to use StandardScaler preprocessor to scale the given data.
StandardScalerExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.StandardScalerExample
Step_1_Read_and_Learn - Class in org.apache.ignite.examples.ml.tutorial: Usage of DecisionTreeClassificationTrainer to predict death in the disaster.
Step_1_Read_and_Learn() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_1_Read_and_Learn
Step_10_Bagging - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_10_Bagging() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_10_Bagging
Step_11_Boosting - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_11_Boosting() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_11_Boosting
Step_12_Model_Update - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_12_Model_Update() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_12_Model_Update
Step_13_RandomSearch - Class in org.apache.ignite.examples.ml.tutorial.hyperparametertuning: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_13_RandomSearch() - Constructor for class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_13_RandomSearch
Step_14_Parallel_Brute_Force_Search - Class in org.apache.ignite.examples.ml.tutorial.hyperparametertuning: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_14_Parallel_Brute_Force_Search() - Constructor for class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_14_Parallel_Brute_Force_Search
Step_15_Parallel_Random_Search - Class in org.apache.ignite.examples.ml.tutorial.hyperparametertuning: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_15_Parallel_Random_Search() - Constructor for class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_15_Parallel_Random_Search
Step_16_Genetic_Programming_Search - Class in org.apache.ignite.examples.ml.tutorial.hyperparametertuning: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_16_Genetic_Programming_Search() - Constructor for class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_16_Genetic_Programming_Search
Step_17_Parallel_Genetic_Programming_Search - Class in org.apache.ignite.examples.ml.tutorial.hyperparametertuning: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_17_Parallel_Genetic_Programming_Search() - Constructor for class org.apache.ignite.examples.ml.tutorial.hyperparametertuning.Step_17_Parallel_Genetic_Programming_Search
Step_2_Imputing - Class in org.apache.ignite.examples.ml.tutorial: Usage of ImputerTrainer to fill missed data (Double.NaN) values in the chosen columns.
Step_2_Imputing() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_2_Imputing
Step_3_Categorial - Class in org.apache.ignite.examples.ml.tutorial: Let's add two categorial features "sex", "embarked" to predict more precisely than in Step_1_Read_and_Learn.
Step_3_Categorial() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_3_Categorial
Step_3_Categorial_with_One_Hot_Encoder - Class in org.apache.ignite.examples.ml.tutorial: Let's add two categorial features "sex", "embarked" to predict more precisely than in Step_1_Read_and_Learn..
Step_3_Categorial_with_One_Hot_Encoder() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_3_Categorial_with_One_Hot_Encoder
Step_4_Add_age_fare - Class in org.apache.ignite.examples.ml.tutorial: Add yet two numerical features "age", "fare" to improve our model over Step_3_Categorial.
Step_4_Add_age_fare() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_4_Add_age_fare
Step_5_Scaling - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_5_Scaling() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_5_Scaling
Step_5_Scaling_with_Pipeline - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_5_Scaling_with_Pipeline() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_5_Scaling_with_Pipeline
Step_6_KNN - Class in org.apache.ignite.examples.ml.tutorial: Change classification algorithm that was used in Step_5_Scaling from decision tree to kNN (KNNClassificationTrainer) because sometimes this can be beneficial.
Step_6_KNN() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_6_KNN
Step_7_Split_train_test - Class in org.apache.ignite.examples.ml.tutorial: The highest accuracy in the previous example (Step_6_KNN) is the result of overfitting.
Step_7_Split_train_test() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_7_Split_train_test
Step_8_CV - Class in org.apache.ignite.examples.ml.tutorial: To choose the best hyper-parameters the cross-validation will be used in this example.
Step_8_CV() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_8_CV
Step_8_CV_with_Param_Grid - Class in org.apache.ignite.examples.ml.tutorial: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_8_CV_with_Param_Grid() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_8_CV_with_Param_Grid
Step_8_CV_with_Param_Grid_and_pipeline - Class in org.apache.ignite.examples.ml.tutorial: To choose the best hyper-parameters the cross-validation with ParamGrid will be used in this example.
Step_8_CV_with_Param_Grid_and_pipeline() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_8_CV_with_Param_Grid_and_pipeline
Step_9_Scaling_With_Stacking - Class in org.apache.ignite.examples.ml.tutorial: MinMaxScalerTrainer and NormalizationTrainer are used in this example due to different values distribution in columns and rows.
Step_9_Scaling_With_Stacking() - Constructor for class org.apache.ignite.examples.ml.tutorial.Step_9_Scaling_With_Stacking
StreamTransformerExample - Class in org.apache.ignite.examples.streaming: Stream random numbers into the streaming cache.
StreamTransformerExample() - Constructor for class org.apache.ignite.examples.streaming.StreamTransformerExample
StreamVisitorExample - Class in org.apache.ignite.examples.streaming: Stream random numbers into the streaming cache.
StreamVisitorExample() - Constructor for class org.apache.ignite.examples.streaming.StreamVisitorExample
StreamVisitorExample.Instrument - Class in org.apache.ignite.examples.streaming: Financial instrument.
StreamWords - Class in org.apache.ignite.examples.streaming.wordcount: Stream words into Ignite cache.
StreamWords() - Constructor for class org.apache.ignite.examples.streaming.wordcount.StreamWords
SVMBinaryClassificationExample - Class in org.apache.ignite.examples.ml.svm: Run SVM binary-class classification model (SVMLinearClassificationModel) over distributed dataset.
SVMBinaryClassificationExample() - Constructor for class org.apache.ignite.examples.ml.svm.SVMBinaryClassificationExample
SVMExportImportExample - Class in org.apache.ignite.examples.ml.inference.exchange: Run SVM binary-class classification model (SVMLinearClassificationModel) over distributed dataset.
SVMExportImportExample() - Constructor for class org.apache.ignite.examples.ml.inference.exchange.SVMExportImportExample
SVMFromSparkExample - Class in org.apache.ignite.examples.ml.inference.spark.modelparser: Run SVM model loaded from snappy.parquet file.
SVMFromSparkExample() - Constructor for class org.apache.ignite.examples.ml.inference.spark.modelparser.SVMFromSparkExample

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TargetEncoderExample - Class in org.apache.ignite.examples.ml.preprocessing.encoding: Example that shows how to use Target Encoder preprocessor to encode labels presented as a mean target value.
TargetEncoderExample() - Constructor for class org.apache.ignite.examples.ml.preprocessing.encoding.TargetEncoderExample
TITANIC - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The Titanic dataset from Kaggle competition.
TitanicUtils - Class in org.apache.ignite.examples.ml.tutorial: The utility class.
TitanicUtils() - Constructor for class org.apache.ignite.examples.ml.tutorial.TitanicUtils
toString() - Method in class org.apache.ignite.examples.computegrid.montecarlo.Credit
toString() - Method in class org.apache.ignite.examples.datagrid.starschema.DimProduct
toString() - Method in class org.apache.ignite.examples.datagrid.starschema.DimStore
toString() - Method in class org.apache.ignite.examples.datagrid.starschema.FactPurchase
toString() - Method in class org.apache.ignite.examples.model.Address
toString() - Method in class org.apache.ignite.examples.model.Employee
toString() - Method in class org.apache.ignite.examples.model.EmployeeKey
toString() - Method in class org.apache.ignite.examples.model.Organization
toString() - Method in class org.apache.ignite.examples.model.Person
TrainingWithBinaryObjectExample - Class in org.apache.ignite.examples.ml: Example of support model training with binary objects.
TrainingWithBinaryObjectExample() - Constructor for class org.apache.ignite.examples.ml.TrainingWithBinaryObjectExample
TrainingWithCustomPreprocessorsExample - Class in org.apache.ignite.examples.ml.environment: This example demonstrates an ability of using custom client classes in cluster in case of absence of these classes on server nodes.
TrainingWithCustomPreprocessorsExample() - Constructor for class org.apache.ignite.examples.ml.environment.TrainingWithCustomPreprocessorsExample
TrainTestDatasetSplitterExample - Class in org.apache.ignite.examples.ml.selection.split: Run linear regression model over dataset split on train and test subsets (TrainTestDatasetSplitter).
TrainTestDatasetSplitterExample() - Constructor for class org.apache.ignite.examples.ml.selection.split.TrainTestDatasetSplitterExample
TWO_CLASSED_IRIS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The 1st and 2nd classes from the Iris dataset.
type() - Method in class org.apache.ignite.examples.model.Organization

U

UNATTENDED - Static variable in class org.apache.ignite.examples.ml.util.MLExamplesCommonArgs: Unattended argument.
update(double) - Method in class org.apache.ignite.examples.streaming.StreamVisitorExample.Instrument: Updates this instrument based on the latest market tick price.
url(String) - Static method in class org.apache.ignite.examples.ExamplesUtils: Returns URL resolved by class loader for classes in examples project.

V

valueOf(String) - Static method in enum org.apache.ignite.examples.ml.util.MLSandboxDatasets: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.ignite.examples.model.OrganizationType: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.apache.ignite.examples.ml.util.MLSandboxDatasets: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.ignite.examples.model.OrganizationType: Returns an array containing the constants of this enum type, in the order they are declared.
VectorGeneratorFamilyExample - Class in org.apache.ignite.examples.ml.util.generators: Example of using distribution families.
VectorGeneratorFamilyExample() - Constructor for class org.apache.ignite.examples.ml.util.generators.VectorGeneratorFamilyExample
VectorGeneratorPrimitivesExample - Class in org.apache.ignite.examples.ml.util.generators: Example of using primitive generators and combiners for generators.
VectorGeneratorPrimitivesExample() - Constructor for class org.apache.ignite.examples.ml.util.generators.VectorGeneratorPrimitivesExample

W

WHOLESALE_CUSTOMERS - org.apache.ignite.examples.ml.util.MLSandboxDatasets: Wholesale customers dataset.
WINE_RECOGNITION - org.apache.ignite.examples.ml.util.MLSandboxDatasets: The Wine recognition data.
wordCache() - Static method in class org.apache.ignite.examples.streaming.wordcount.CacheConfig
WordsSocketStreamerClient - Class in org.apache.ignite.examples.streaming.wordcount.socket: Example demonstrates streaming of data from external components into Ignite cache.
WordsSocketStreamerClient() - Constructor for class org.apache.ignite.examples.streaming.wordcount.socket.WordsSocketStreamerClient
WordsSocketStreamerServer - Class in org.apache.ignite.examples.streaming.wordcount.socket: Example demonstrates streaming of data from external components into Ignite cache.
WordsSocketStreamerServer() - Constructor for class org.apache.ignite.examples.streaming.wordcount.socket.WordsSocketStreamerServer
write(Cache.Entry<? extends Long, ? extends Person>) - Method in class org.apache.ignite.examples.datagrid.store.jdbc.CacheJdbcPersonStore
writeBinary(BinaryWriter) - Method in class org.apache.ignite.examples.model.Address

X

XGBoostModelParserExample - Class in org.apache.ignite.examples.ml.inference.xgboost: This example demonstrates how to import XGBoost model and use imported model for distributed inference in Apache Ignite.
XGBoostModelParserExample() - Constructor for class org.apache.ignite.examples.ml.inference.xgboost.XGBoostModelParserExample

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