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ai.catboost - package ai.catboost

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CatBoostError - Exception in ai.catboost

CatBoostError(String) - Constructor for exception ai.catboost.CatBoostError

CatBoostModel - Class in ai.catboost

CatBoost model, supports basic model application.

CatBoostModel() - Constructor for class ai.catboost.CatBoostModel

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.

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

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

Get model prediction for particular object and particular dimension.

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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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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