Package org.apache.ignite.examples.ml.inference.exchange
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Class Summary Class Description ANNClassificationExportImportExample Run ANN multi-class classification trainer (ANNClassificationTrainer) over distributed dataset.CompoundNaiveBayesExportImportExample Run naive Compound Bayes classification model based on Nnaive Bayes classifier algorithm (GaussianNaiveBayesTrainer)and Discrete naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.DecisionTreeClassificationExportImportExample Example of using distributedDecisionTreeClassificationTrainer.DecisionTreeRegressionExportImportExample Example of using distributedDecisionTreeRegressionTrainer.DiscreteNaiveBayesExportImportExample Run naive Bayes classification model based on naive Bayes classifier algorithm (DiscreteNaiveBayesTrainer) over distributed cache.GaussianNaiveBayesExportImportExample Run naive Bayes classification model based on naive Bayes classifier algorithm (GaussianNaiveBayesTrainer) over distributed cache.GDBOnTreesClassificationExportImportExample Example represents a solution for the task of classification learning based on Gradient Boosting on trees implementation.GDBOnTreesRegressionExportImportExample Example represents a solution for the task of regression learning based on Gradient Boosting on trees implementation.KMeansClusterizationExportImportExample Run KMeans clustering algorithm (KMeansTrainer) over distributed dataset.LinearRegressionExportImportExample Run linear regression model based on LSQR algorithm (LinearRegressionLSQRTrainer) over cached dataset.LogisticRegressionExportImportExample Run logistic regression model based on stochastic gradient descent algorithm (LogisticRegressionSGDTrainer) over distributed cache.RandomForestClassificationExportImportExample Example represents a solution for the task of wine classification based on a Random Forest implementation for multi-classification.RandomForestRegressionExportImportExample Example represents a solution for the task of price predictions for houses in Boston based on a Random Forest implementation for regression.SVMExportImportExample Run SVM binary-class classification model (SVMLinearClassificationModel) over distributed dataset.