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ai.catboost - package ai.catboost

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CatBoostModel - Class in ai.catboost

CatBoost model, supports basic model application.

CatBoostModel.CatFeature - Class in ai.catboost

CatBoostModel.Feature - Class in ai.catboost

CatBoostModel.FloatFeature - Class in ai.catboost

CatBoostModel.FloatFeature.NanValueTreatment - Enum in ai.catboost

CatBoostModel.TextFeature - Class in ai.catboost

CatBoostPredictions - Class in ai.catboost

CatBoost model prediction.

CatBoostPredictions(int, int) - Constructor for class ai.catboost.CatBoostPredictions

Construct CatBoost model prediction based on number of objects and model prediction dimension.

CatFeature(String, int, int, boolean) - Constructor for class ai.catboost.CatBoostModel.CatFeature

close() - Method in class ai.catboost.CatBoostModel

copyObjectPredictions(int, double[]) - Method in class ai.catboost.CatBoostPredictions

Copy object prediction to a specified array.

copyObjectPredictions(int) - Method in class ai.catboost.CatBoostPredictions

Copy object prediction to a separate array.

copyRowMajorPredictions() - Method in class ai.catboost.CatBoostPredictions

Return row-major copy of prediction matrix.

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Feature(String, int, int, boolean) - Constructor for class ai.catboost.CatBoostModel.Feature

finalize() - Method in class ai.catboost.CatBoostModel

FloatFeature(String, int, int, boolean, int, String) - Constructor for class ai.catboost.CatBoostModel.FloatFeature

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get(int, int) - Method in class ai.catboost.CatBoostPredictions

Get model prediction for particular object and particular dimension.

getFeatureIndex() - Method in class ai.catboost.CatBoostModel.Feature

getFeatureNames() - Method in class ai.catboost.CatBoostModel

getFeatures() - Method in class ai.catboost.CatBoostModel

getFlatFeatureIndex() - Method in class ai.catboost.CatBoostModel.Feature

getMetadata() - Method in class ai.catboost.CatBoostModel

getName() - Method in class ai.catboost.CatBoostModel.Feature

getNanValueTreatment() - Method in class ai.catboost.CatBoostModel.FloatFeature

getObjectCount() - Method in class ai.catboost.CatBoostPredictions

getPredictionDimension() - Method in class ai.catboost.CatBoostModel

getPredictionDimension() - Method in class ai.catboost.CatBoostPredictions

getTreeCount() - Method in class ai.catboost.CatBoostModel

getUsedCategoricFeatureCount() - Method in class ai.catboost.CatBoostModel

getUsedNumericFeatureCount() - Method in class ai.catboost.CatBoostModel

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hasNans() - Method in class ai.catboost.CatBoostModel.FloatFeature

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isUsedInModel() - Method in class ai.catboost.CatBoostModel.Feature

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loadModel(String) - Static method in class ai.catboost.CatBoostModel

Load CatBoost model from file modelPath.

loadModel(InputStream) - Static method in class ai.catboost.CatBoostModel

Load CatBoost model from stream.

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predict(float[], String[], CatBoostPredictions) - Method in class ai.catboost.CatBoostModel

Apply model to object defined by features.

predict(float[], String[]) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[], String[], CatBoostPredictions), but returns prediction instead of taking it as third parameter.

predict(float[], int[], CatBoostPredictions) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[], String[], CatBoostPredictions), but accept categoric features as hashes computed by CatBoostModel.hashCategoricalFeature(String).

predict(float[], int[]) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[], int[], CatBoostPredictions), but returns prediction instead of taking it as third parameter.

predict(float[][], String[][], CatBoostPredictions) - Method in class ai.catboost.CatBoostModel

Apply model to a batch of objects.

predict(float[][], String[][]) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[][], String[][], CatBoostPredictions), but returns prediction instead of taking it as third parameter.

predict(float[][], int[][], CatBoostPredictions) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[][], String[][], CatBoostPredictions), but accept categoric features as hashes computed by CatBoostModel.hashCategoricalFeature(String).

predict(float[][], int[][]) - Method in class ai.catboost.CatBoostModel

Same as CatBoostModel.predict(float[][], String[][], CatBoostPredictions), but returns predictions instead of taking it as third parameter.

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TextFeature(String, int, int, boolean) - Constructor for class ai.catboost.CatBoostModel.TextFeature

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valueOf(String) - Static method in enum ai.catboost.CatBoostModel.FloatFeature.NanValueTreatment

Returns the enum constant of this type with the specified name.

values() - Static method in enum ai.catboost.CatBoostModel.FloatFeature.NanValueTreatment

Returns an array containing the constants of this enum type, in the order they are declared.

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