CatBoost
Installation
Overview
Python package installation
CatBoost for Apache Spark installation
R package installation
Command-line version binary
Build from source
Key Features
Training parameters
Python package
Quick start
CatBoost
CatBoostClassifier
Overview
fit
predict
predict_proba
Attributes
calc_leaf_indexes
calc_feature_statistics
compare
copy
eval_metrics
get_all_params
get_best_iteration
get_best_score
get_borders
get_evals_result
get_feature_importance
get_metadata
get_object_importance
get_param
get_params
get_probability_threshold
get_scale_and_bias
get_test_eval
grid_search
is_fitted
load_model
plot_predictions
plot_tree
randomized_search
save_borders
save_model
score
select_features
set_feature_names
set_params
set_probability_threshold
set_scale_and_bias
shrink
staged_predict
staged_predict_proba
CatBoostRanker
CatBoostRegressor
cv
datasets
FeaturesData
MetricVisualizer
Pool
sample_gaussian_process
sum_models
to_classifier
to_regressor
train
Text processing
utils
Usage examples
CatBoost for Apache Spark
R package
Command-line version
Applying models
Objectives and metrics
Model analysis
Data format description
Parameter tuning
Speeding up the training
Data visualization
Algorithm details
FAQ
Educational materials
Development and contributions
Contacts
In this article:
Method call format
Type of return value
Python package
CatBoostClassifier
is_fitted
is_fitted
Method call format
Type of return value
Check whether the model is trained.
Method call format
Method call format
is_fitted()
Type of return value
Type of return value
bool
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