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