# PySpark ML (DataFrame-based)

**Canonical:** https://apis.io/apis/pyspark/pyspark-ml/  
**Provider:** Apache PySpark — https://apis.io/providers/pyspark/  
**Documentation:** https://spark.apache.org/docs/latest/ml-pipeline.html

PySpark ML (DataFrame-based) is one of 5 APIs that [Apache PySpark](https://apis.io/providers/pyspark/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Machine-Learning and Pipeline. The published artifact set on APIs.io includes API documentation.

DataFrame-based machine learning API with pipelines and feature transformers.

## Machine-readable artifacts (2)

- **Documentation** — https://spark.apache.org/docs/latest/api/python/reference/pyspark.ml.html
- **PipelineGuide** — https://spark.apache.org/docs/latest/ml-pipeline.html

## Other Apache PySpark APIs (4)

- [PySpark Core API](https://apis.io/apis/pyspark/pyspark-core-api/)
- [PySpark SQL](https://apis.io/apis/pyspark/pyspark-sql/)
- [PySpark Streaming](https://apis.io/apis/pyspark/pyspark-streaming/)
- [PySpark MLlib](https://apis.io/apis/pyspark/pyspark-mllib/)

## Tags

Machine-Learning, Pipeline

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/apis/pyspark/pyspark-ml/). The API's provider profile, Kin Score and agent-readiness rating are at https://apis.io/providers/pyspark/.