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
CatBoostRanker
CatBoostRegressor
cv
datasets
FeaturesData
MetricVisualizer
Pool
Overview
Attributes
get_baseline
get_cat_feature_indices
get_embedding_feature_indices
get_features
get_group_id
get_label
get_text_feature_indices
get_weight
is_quantized
num_col
num_row
quantize
save
save_quantization_borders
set_baseline
set_feature_names
set_group_id
set_group_weight
set_pairs
set_pairs_weight
set_subgroup_id
set_timestamp
set_weight
slice
Pool initialization
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
Python package
Pool
get_features
get_features
Method call format
Type of return value
Return an array of the dataset features
Method call format
Method call format
get_features()
Type of return value
Type of return value
A two-dimensional numpy.ndarray
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Method call format
Type of return value