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Project Description

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# sklearn-pmml

A library that allows serialization of SciKit-Learn estimators into PMML

# Installation The easiest way is to use pip: ` pip install sklearn-pmml `

# Supported models - DecisionTreeClassifier - DecisionTreeRegressor - GradientBoostingClassifier - RandomForestClassifier

# PMML output

## Classification Classifier converters can only operate with categorical outputs, and for each categorical output variable `varname` the PMML output contains the following outputs: - categorical `varname` for the predicted label of the instance - double `varname.label` for the probability for a given label

## Regression Regression model PMML outputs the numeric response variable named as the output variable

Release History

Release History

0.1.2

This version

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0.1.1

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0.1.0

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0.0.3

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0.0.2

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
sklearn_pmml-0.1.2-py2.7.egg (285.5 kB) Copy SHA256 Checksum SHA256 2.7 Egg Oct 12, 2015
sklearn-pmml-0.1.2.tar.gz (128.6 kB) Copy SHA256 Checksum SHA256 Source Oct 12, 2015

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