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Supported Models & Transformers
Akshay Utkarsh Sharma edited this page Feb 8, 2018
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Spark Mllib
- LogisticRegressionModel
- DecisionTreeModel
- RandomForestModel
- GradientBoostedTreesModel
- StringIndexer
- HashingTF
- OneHotEncoder
- RegexTokenizer
- CountVectorizer
- StandardScaler
- MinMaxScaler
- Bucketizer
- VectorAssembler
- ChiSqFeatureSelector
Custom Models
- Log1PScaler
- Algebraic transformer
- Probabilistic transformer
Pipelines
- Pipeline using any of supported models
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