public class PipelineModel extends Model<PipelineModel> implements Logging
Modifier and Type | Method and Description |
---|---|
PipelineModel |
copy(ParamMap extra)
Creates a copy of this instance with the same UID and some extra params.
|
Transformer[] |
stages() |
DataFrame |
transform(DataFrame dataset)
Transforms the input dataset.
|
StructType |
transformSchema(StructType schema)
:: DeveloperApi ::
|
java.lang.String |
uid()
An immutable unique ID for the object and its derivatives.
|
void |
validateParams()
Validates parameter values stored internally.
|
transform, transform, transform
transformSchema
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
toString
public java.lang.String uid()
Identifiable
uid
in interface Identifiable
public Transformer[] stages()
public void validateParams()
Params
This only needs to check for interactions between parameters.
Parameter value checks which do not depend on other parameters are handled by
Param.validate()
. This method does not handle input/output column parameters;
those are checked during schema validation.
validateParams
in interface Params
public DataFrame transform(DataFrame dataset)
Transformer
transform
in class Transformer
dataset
- (undocumented)public StructType transformSchema(StructType schema)
PipelineStage
Derives the output schema from the input schema.
transformSchema
in class PipelineStage
schema
- (undocumented)public PipelineModel copy(ParamMap extra)
Params
copy
in interface Params
copy
in class Model<PipelineModel>
extra
- (undocumented)defaultCopy()