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R package training parameters
CPU Overfitting detection settings early_stopping_rounds. Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric...
Python package training parameters
Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.
Train a model
Overfitting detection settings --od-type. The type of the overfitting detector to use. ... 0 (the overfitting detection is turned off) CPU and GPU. --od-wait.
Using the overfitting detector
Using the overfitting detector If overfitting occurs, CatBoost can stop the training earlier than the training parameters dictate.
Overfitting detector
Overfitting detector. IncToDec. Iter. Overfitting detector If overfitting occurs, CatBoost can stop the training earlier than the training parameters dictate.
Supported metrics for overfitting detection and best model selection
Supported metrics for overfitting detection and best model selection. CatBoost.
Usage examples
User-defined metric for overfitting detector and best model selection Regression CatBoostRegressor class with array-like data. from catboost import CatBoostRegressor # Initialize data train_data = [[1, 4...
Attributes
This number can differ from the value specified in the iterations training parameter in the following cases: * The training is stopped by the overfitting detector.
Overview of CatBoost
Python train function. Cross-validation. Overfitting detector. Pre-trained data. Categorical features.
How training is performed
To prevent overfitting, use the overfitting detector. When it is triggered, trees stop being built. Building stages for a single tree: 1. Preliminary calculation of splits.
Parameter tuning
Overfitting detection settings --od-type. od_type. od_type. The type of the overfitting detector to use. Possible values: * IncToDec * Iter --od-pval. od_pval. od_pval.
train
Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.
cv
Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.
Attributes
This number can differ from the value specified in the iterations training parameter in the following cases: * The training is stopped by the overfitting detector.
Attributes
This number can differ from the value specified in the iterations training parameter in the following cases: * The training is stopped by the overfitting detector.
Attributes
This number can differ from the value specified in the iterations training parameter in the following cases: * The training is stopped by the overfitting detector.
catboost.train
CPU Overfitting detection settings early_stopping_rounds. Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric...
fit
Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.
Implemented metrics
This option requires a validation dataset to be provided. The metric used for overfitting detection (if enabled) and best model selection (if enabled).
fit
Sets the overfitting detector type to Iter and stops the training after the specified number of iterations since the iteration with the optimal metric value.
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