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
is_fitted
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
is_fitted()
Type of return value
bool
Was the article helpful?
Yes
No
Previous
grid_search
Next
load_model
