Enum MLSandboxDatasets
- java.lang.Object
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- java.lang.Enum<MLSandboxDatasets>
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- org.apache.ignite.examples.ml.util.MLSandboxDatasets
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- All Implemented Interfaces:
java.io.Serializable,java.lang.Comparable<MLSandboxDatasets>
public enum MLSandboxDatasets extends java.lang.Enum<MLSandboxDatasets>
The names of popular datasets used in examples.
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Enum Constant Summary
Enum Constants Enum Constant Description AMAZON_EMPLOYEE_ACCESSA dataset with categorical features and labels.BOSTON_HOUSE_PRICESThe Boston house-prices dataset.CLEARED_MACHINESThe dataset is about different computers' properties based on https://archive.ics.uci.edu/ml/datasets/Computer+Hardware.ENGLISH_VS_SCOTTISHExample from book Barber D.FRAUD_DETECTIONFraud detection problem [part of whole dataset].GLASS_IDENTIFICATIONThe 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}.IRISThe full Iris dataset from Machine Learning Repository.MIXED_DATASETA dataset with discrete and continuous features.MORTALITY_DATAThe health data is related to death rate based on; doctor availability, hospital availability, annual per capita income, and population density people per square mile.MOVIELENSMovielens dataset with ratings.MUSHROOMSA dataset with categorical features and labels.TITANICThe Titanic dataset from Kaggle competition.TWO_CLASSED_IRISThe 1st and 2nd classes from the Iris dataset.WHOLESALE_CUSTOMERSWholesale customers dataset.WINE_RECOGNITIONThe Wine recognition data.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description java.lang.StringgetFileName()java.lang.StringgetSeparator()booleanhasHeader()static MLSandboxDatasetsvalueOf(java.lang.String name)Returns the enum constant of this type with the specified name.static MLSandboxDatasets[]values()Returns an array containing the constants of this enum type, in the order they are declared.
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Enum Constant Detail
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MOVIELENS
public static final MLSandboxDatasets MOVIELENS
Movielens dataset with ratings.
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IRIS
public static final MLSandboxDatasets IRIS
The full Iris dataset from Machine Learning Repository.
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TITANIC
public static final MLSandboxDatasets TITANIC
The Titanic dataset from Kaggle competition.
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TWO_CLASSED_IRIS
public static final MLSandboxDatasets TWO_CLASSED_IRIS
The 1st and 2nd classes from the Iris dataset.
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CLEARED_MACHINES
public static final MLSandboxDatasets CLEARED_MACHINES
The dataset is about different computers' properties based on https://archive.ics.uci.edu/ml/datasets/Computer+Hardware.
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MORTALITY_DATA
public static final MLSandboxDatasets MORTALITY_DATA
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.
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GLASS_IDENTIFICATION
public static final MLSandboxDatasets GLASS_IDENTIFICATION
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}. Feature names: 'Na-Sodium', 'Mg-Magnesium', 'Al-Aluminum', 'Ba-Barium', 'Fe-Iron'.
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WINE_RECOGNITION
public static final MLSandboxDatasets WINE_RECOGNITION
The Wine recognition data. Could be found here.
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BOSTON_HOUSE_PRICES
public static final MLSandboxDatasets BOSTON_HOUSE_PRICES
The Boston house-prices dataset. Could be found here.
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ENGLISH_VS_SCOTTISH
public static final MLSandboxDatasets ENGLISH_VS_SCOTTISH
Example from book Barber D. Bayesian reasoning and machine learning. Chapter 10.
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WHOLESALE_CUSTOMERS
public static final MLSandboxDatasets WHOLESALE_CUSTOMERS
Wholesale customers dataset. Could be found here.
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FRAUD_DETECTION
public static final MLSandboxDatasets FRAUD_DETECTION
Fraud detection problem [part of whole dataset]. Could be found here.
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MIXED_DATASET
public static final MLSandboxDatasets MIXED_DATASET
A dataset with discrete and continuous features.
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MUSHROOMS
public static final MLSandboxDatasets MUSHROOMS
A dataset with categorical features and labels.
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AMAZON_EMPLOYEE_ACCESS
public static final MLSandboxDatasets AMAZON_EMPLOYEE_ACCESS
A dataset with categorical features and labels.
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Method Detail
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values
public static MLSandboxDatasets[] values()
Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:for (MLSandboxDatasets c : MLSandboxDatasets.values()) System.out.println(c);
- Returns:
- an array containing the constants of this enum type, in the order they are declared
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valueOf
public static MLSandboxDatasets valueOf(java.lang.String name)
Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)- Parameters:
name- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
java.lang.IllegalArgumentException- if this enum type has no constant with the specified namejava.lang.NullPointerException- if the argument is null
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getFileName
public java.lang.String getFileName()
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hasHeader
public boolean hasHeader()
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getSeparator
public java.lang.String getSeparator()
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