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MLeap is here to help you deploy your Spark transformers and pipelines into production, without a Spark context.

Tutorials

• Serializing a Spark ML Pipeline and Serving with MLeap
• Setting up a Spark 2.0 notebook with MLeap and Toree
• Setting up PySpark 2.0 notebook with MLeap and Toree
• Setting up Scikit-Learn with MLeap

Demos

• ML Pipelines with AirBnb data - Scala
• ML Pipelines with AirBnb data - PySpark
• ML Pipelines with Lending Club data - Scala

Supported Transformers

Features

Transformer	Spark	Scikit-Learn	TensorFlow
Binarizer	x	x
Bucketizer	x
ChiSqSelector
CountVectorizer
ElementwiseProduct	x	x
HashingTermFrequency	x	x
Imputer	x	x
Interaction	x	x
LSH
MaxAbsScaler	x
MinMaxScaler	x	x
Ngram	x
Normalizer	x
OneHotEncoder	x	x
PCA	x	x
QuantileDiscretizer	x
PolynomialExpansion	x	x
ReverseStringIndexer	x	x
StandardScaler	x	x
StopWordsRemover	x
StringIndexer	x	x
Tokenizer	x	x
VectorAssembler	x	x

Classification

Transformer	Spark	Scikit-Learn	TensorFlow
DecisionTreeClassifier	x	x
GradientBoostedTreeClassifier	x
LogisticRegression	x	x
LogisticRegressionCv	x	x
NaiveBayesClassifier	x
OneVsRest	x
RandomForestClassifier	x	x
SupportVectorMachines	x	x
MultiLayerPerceptron	x

Regression

Transformer	Spark	Scikit-Learn	TensorFlow
AFTSurvivalRegression
DecisionTreeRegression	x	x
GeneralizedLinearRegression
GradientBoostedTreeRegression	x
IsotonicRegression
LinearRegression	x	x
RandomForestRegression	x	x

Clustering

Transformer	Spark	Scikit-Learn	TensorFlow
BisectingKMeans
GaussianMixtureModel	x
KMeans	x
LDA

Linear Algebra

• CholeskyDecomposition