Installation
- Overview
- Python package installation
- CatBoost for Apache Spark installation
- R package installation
- Command-line version binary
Key Features
Training parameters
Python package
CatBoost for Apache Spark
- Overview
- Quick start
  - Scala
  - Python
- Spark cluster configuration
- API documentation
- Known limitations
- Usage examples
  - Scala
  - Python
R package
Command-line version
Applying models
- Overview
- C/C++
- Java
  - Overview
  - CatBoostModel
  - CatBoostPredictions
- CoreML
- ONNX
- Rust
- .NET
- Applying the model in ClickHouse
- PMML
- Models exported as code
  - C++
  - Python
Objectives and metrics
Model analysis
Data format description
- Input data
- Output data
Parameter tuning
Speeding up the training
Data visualization
Algorithm details
FAQ
Educational materials
Development and contributions
Contacts

For sbt projects

Get the appropriate catboost_spark_version (see available versions at Maven central)

Choose the appropriate spark_compat_version (2.3, 2.4 or 3.0) and scala_compat_version (2.11 or 2.12).

Add dependency to build.sbt of your project:

libraryDependencies ++= Seq(
  "ai.catboost" %% ("catboost-spark_" + sparkCompatVersion) +  % "catboost_spark_version"
)

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