# Apache Spark MLlib API

**Canonical:** https://apis.io/apis/apache-spark/apache-spark-mllib-api/  
**Provider:** Apache Spark — https://apis.io/providers/apache-spark/  
**Documentation:** https://spark.apache.org/docs/latest/ml-guide.html

Apache Spark MLlib API is one of 6 APIs that [Apache Spark](https://apis.io/providers/apache-spark/) publishes on the [APIs.io](https://apis.io/) network. Tagged areas include Algorithms, Data Science, Machine-Learning, and ML. The published artifact set on APIs.io includes API documentation.

Spark's scalable machine learning library consisting of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, and feature engineering. Supports pipeline-based ML workflows through the spark.ml package.

## Machine-readable artifacts (3)

- **Documentation** — https://spark.apache.org/docs/latest/ml-guide.html
- **SDKs** — https://spark.apache.org/docs/latest/api/scala/org/apache/spark/ml/index.html
- **SDKs** — https://spark.apache.org/docs/latest/api/python/reference/pyspark.ml.html

## Other Apache Spark APIs (5)

- [Apache Spark SQL API](https://apis.io/apis/apache-spark/apache-spark-sql-api/)
- [Apache Spark Streaming API](https://apis.io/apis/apache-spark/apache-spark-streaming-api/)
- [Apache Spark GraphX API](https://apis.io/apis/apache-spark/apache-spark-graphx-api/)
- [Apache Spark Applications API](https://apis.io/apis/apache-spark/apache-spark-applications-api/)
- [Apache Spark Version API](https://apis.io/apis/apache-spark/apache-spark-version-api/)

## Tags

Algorithms, Data Science, Machine-Learning, ML

---

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