public class PMMLPipeline extends SkLearnPipeline
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>UNKNOWN| Constructor and Description |
|---|
PMMLPipeline() |
PMMLPipeline(String module,
String name) |
| Modifier and Type | Method and Description |
|---|---|
List<org.jpmml.converter.Feature> |
encodeFeatures(List<org.jpmml.converter.Feature> features,
SkLearnEncoder encoder) |
org.dmg.pmml.Model |
encodeModel(org.jpmml.converter.Schema schema) |
org.dmg.pmml.PMML |
encodePMML() |
List<String> |
getActiveFields() |
Transformer |
getApplyTransformer() |
Map<?,?> |
getHeader() |
List<? extends Number> |
getPMMLFeatureImportances() |
Transformer |
getPredictProbaTransformer() |
Transformer |
getPredictTransformer() |
String |
getRepr() |
List<Object[]> |
getSteps() |
List<String> |
getTargetFields() |
Verification |
getVerification() |
protected List<String> |
initActiveFields(Step step) |
protected List<String> |
initTargetFields(Estimator estimator) |
PMMLPipeline |
setActiveFields(List<String> activeFields) |
PMMLPipeline |
setRepr(String repr) |
PMMLPipeline |
setSteps(List<Object[]> steps) |
PMMLPipeline |
setTargetFields(List<String> targetFields) |
PMMLPipeline |
setVerification(Verification verification) |
getFinalEstimator, getFinalEstimator, getHead, getPMMLOptions, getTransformers, hasFinalEstimator, hasTransformers, initFeatures, initLabel, setPMMLOptionscastTo, getDataType, getFeatureNamesIn, getNumberOfFeatures, getOpType, refreshLabel, toClassifier, toClusterer, toEstimator, toRegressor, toTransformercheckVersion, getPMMLName, getSkLearnFeatureNamesIn, getSkLearnVersion, setPMMLNameget, getArray, getArray, getArray, getArrayShape, getArrayShape, getBoolean, getBooleanArray, getClassName, getDict, getInteger, getIntegerArray, getList, getList, getListLike, getListLike, getNumber, getNumberArray, getObject, getOptional, getOptionalBoolean, getOptionalObject, getOptionalScalar, getOptionalString, getPythonModule, getPythonName, getPythonObject, getScalar, getString, getTuple, getTupleList, setClassNameclear, clone, compute, computeIfAbsent, computeIfPresent, containsKey, containsValue, entrySet, forEach, get, getOrDefault, isEmpty, keySet, merge, put, putAll, putIfAbsent, remove, remove, replace, replace, replaceAll, size, valuesequals, hashCode, toStringpublic List<org.jpmml.converter.Feature> encodeFeatures(List<org.jpmml.converter.Feature> features, SkLearnEncoder encoder)
encodeFeatures in class CompositeTransformerpublic org.dmg.pmml.Model encodeModel(org.jpmml.converter.Schema schema)
encodeModel in class CompositeEstimatorpublic org.dmg.pmml.PMML encodePMML()
encodePMML in interface EncodableencodePMML in class SkLearnPipelinepublic List<Object[]> getSteps()
getSteps in class SkLearnPipelinepublic PMMLPipeline setSteps(List<Object[]> steps)
setSteps in class SkLearnPipelinepublic Map<?,?> getHeader()
public Transformer getPredictTransformer()
public Transformer getPredictProbaTransformer()
public Transformer getApplyTransformer()
public PMMLPipeline setActiveFields(List<String> activeFields)
public PMMLPipeline setTargetFields(List<String> targetFields)
public String getRepr()
public PMMLPipeline setRepr(String repr)
public Verification getVerification()
public PMMLPipeline setVerification(Verification verification)
protected List<String> initTargetFields(Estimator estimator)
initTargetFields in class SkLearnPipelineprotected List<String> initActiveFields(Step step)
initActiveFields in class SkLearnPipelineCopyright © 2023. All rights reserved.