[SPARK-5884] Implement feature transformers to ML pipelines for Spark 1.4

• Type: Umbrella
• Status: Closed
• Priority: Critical
• Resolution: Fixed
• Fix Version/s: 1.4.0
• Component/s: ML
• Assignee: Xiangrui Meng
• Reporter: Xiangrui Meng
• Created: 18/Feb/15 18:42
• Updated: 22/Jun/15 06:38
• Resolved: 22/Jun/15 06:38

Description

This is an umbrella JIRA to keep a list of feature transformers for ML pipelines we want to have in Spark 1.4. I added a few basic transformers. Feel free to pick up one or propose more.

Issue Links

• is duplicated by: SPARK-6525 Add new feature transformers in ML package
• is related to: SPARK-8521 Feature Transformers in 1.5

Sub-Tasks

• Add VectorAssembler: Resolved
• Add StringIndexer: Resolved
• Add OneHotEncoder as a Transformer: Resolved
• Add Binarizer: Resolved
• Add Bucketizer: Resolved
• Add PolynomialExpansion: Resolved
• Add Normalizer transformer: Resolved
• IDF transformer: Resolved
• Word2Vec transformer: Resolved