is_fitted
Check whether the model is trained.
Method call format
is_fitted()
Type of return value
bool
- 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
- Overview
- fit
- predict
- 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_scale_and_bias
- get_test_eval
- grid_search
- is_fitted
- load_model
- plot_predictions
- plot_tree
- randomized_search
- save_model
- save_borders
- select_features
- set_scale_and_bias
- set_feature_names
- set_params
- shrink
- staged_predict
- virtual_ensembles_predict
- CatBoostClassifier
- 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: