2.1.3
Overview
Programming Guides
Quick Start
Spark Programming Guide
Spark Streaming
DataFrames, Datasets and SQL
Structured Streaming
MLlib (Machine Learning)
GraphX (Graph Processing)
SparkR (R on Spark)
API Docs
Scala
Java
Python
R
Deploying
Overview
Submitting Applications
Spark Standalone
Mesos
YARN
More
Configuration
Monitoring
Tuning Guide
Job Scheduling
Security
Hardware Provisioning
Building Spark
Contributing to Spark
Third Party Projects
MLlib: Main Guide
Pipelines
Extracting, transforming and selecting features
Classification and Regression
Clustering
Collaborative filtering
Model selection and tuning
Advanced topics
MLlib: RDD-based API Guide
Data types
Basic statistics
Classification and regression
Collaborative filtering
Clustering
Dimensionality reduction
Feature extraction and transformation
Frequent pattern mining
Evaluation metrics
PMML model export
Optimization (developer)
Linear methods
This section has been moved into the
classification and regression section
.