public class SkLearnEncoder
extends org.jpmml.python.PythonEncoder
| Constructor and Description |
|---|
SkLearnEncoder() |
| Modifier and Type | Method and Description |
|---|---|
void |
addDerivedField(org.dmg.pmml.DerivedField derivedField) |
org.dmg.pmml.DataField |
createDataField(String name) |
org.dmg.pmml.DerivedField |
createDerivedField(String name,
org.dmg.pmml.Expression expression) |
List<org.jpmml.converter.Feature> |
export(org.dmg.pmml.Model model,
List<String> names) |
List<org.jpmml.converter.Feature> |
export(org.dmg.pmml.Model model,
String name) |
org.jpmml.converter.Feature |
exportPrediction(org.dmg.pmml.Model model,
org.jpmml.converter.ScalarLabel scalarLabel) |
org.jpmml.converter.Feature |
exportPrediction(org.dmg.pmml.Model model,
String name,
org.jpmml.converter.ScalarLabel scalarLabel) |
org.jpmml.converter.Feature |
exportProbability(org.dmg.pmml.Model model,
Object value) |
org.jpmml.converter.Feature |
exportProbability(org.dmg.pmml.Model model,
String name,
Object value) |
Domain |
getDomain(String name) |
org.dmg.pmml.Model |
getModel() |
boolean |
isFrozen(String name) |
static boolean |
isPrediction(org.dmg.pmml.OutputField outputField) |
void |
renameFeature(org.jpmml.converter.Feature feature,
String renamedName) |
void |
setDomain(String name,
Domain domain) |
void |
setModel(org.dmg.pmml.Model model) |
addDecorator, addDecorator, addFeatureImportance, addFeatureImportance, addTransformer, addUnivariateStats, addUnivariateStats, encodePMML, getDecorators, getFeatureImportances, getTransformers, getUnivariateStats, transferContent, transferDecorators, transferFeatureImportances, transferUnivariateStatsaddDataField, addDefineFunction, createDataField, createDataField, createDerivedField, createDerivedField, encodeHeader, encodePMML, ensureDerivedField, getDataField, getDataFields, getDefineFunction, getDefineFunctions, getDerivedField, getDerivedFields, getField, removeDataField, removeDerivedField, toCategorical, toContinuous, toOrdinalpublic List<org.jpmml.converter.Feature> export(org.dmg.pmml.Model model, List<String> names)
public org.jpmml.converter.Feature exportPrediction(org.dmg.pmml.Model model,
org.jpmml.converter.ScalarLabel scalarLabel)
public org.jpmml.converter.Feature exportPrediction(org.dmg.pmml.Model model,
String name,
org.jpmml.converter.ScalarLabel scalarLabel)
public org.jpmml.converter.Feature exportProbability(org.dmg.pmml.Model model,
Object value)
public org.jpmml.converter.Feature exportProbability(org.dmg.pmml.Model model,
String name,
Object value)
public org.dmg.pmml.DataField createDataField(String name)
public org.dmg.pmml.DerivedField createDerivedField(String name, org.dmg.pmml.Expression expression)
public void addDerivedField(org.dmg.pmml.DerivedField derivedField)
addDerivedField in class org.jpmml.converter.PMMLEncoderpublic void renameFeature(org.jpmml.converter.Feature feature,
String renamedName)
public boolean isFrozen(String name)
public org.dmg.pmml.Model getModel()
public void setModel(org.dmg.pmml.Model model)
public static boolean isPrediction(org.dmg.pmml.OutputField outputField)
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