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
CatBoost for Apache Spark
R package
Command-line version
Applying models
Overview
C/C++
Java
CoreML
Node.js
ONNX
Rust
.NET
Applying the model in ClickHouse
PMML
Models exported as code
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
Applying models
Applying models
Overview
Applying models
The following non-standard methods for applying the models are supported:
The following non-standard methods for applying the models are supported:
C/C++:
Evaluation library
Standalone evaluator
Java
CoreML
Node.js
ONNX
Rust
.NET
ClickHouse
PMML
Models exported as code:
C++
Python
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