public class CrossValidator extends Estimator<CrossValidatorModel> implements CrossValidatorParams, Logging
Constructor and Description |
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CrossValidator() |
Modifier and Type | Method and Description |
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CrossValidatorModel |
fit(SchemaRDD dataset,
ParamMap paramMap)
Fits a single model to the input data with provided parameter map.
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CrossValidator |
setEstimator(Estimator<?> value) |
CrossValidator |
setEstimatorParamMaps(ParamMap[] value) |
CrossValidator |
setEvaluator(Evaluator value) |
CrossValidator |
setNumFolds(int value) |
org.apache.spark.sql.catalyst.types.StructType |
transformSchema(org.apache.spark.sql.catalyst.types.StructType schema,
ParamMap paramMap)
Derives the output schema from the input schema and parameters.
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
estimator, estimatorParamMaps, evaluator, getEstimator, getEstimatorParamMaps, getEvaluator, getNumFolds, numFolds
explainParams, get, getParam, isSet, paramMap, params, set, validate, validate
uid
initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public CrossValidator setEstimator(Estimator<?> value)
public CrossValidator setEstimatorParamMaps(ParamMap[] value)
public CrossValidator setEvaluator(Evaluator value)
public CrossValidator setNumFolds(int value)
public CrossValidatorModel fit(SchemaRDD dataset, ParamMap paramMap)
Estimator
fit
in class Estimator<CrossValidatorModel>
dataset
- input datasetparamMap
- parameter mappublic org.apache.spark.sql.catalyst.types.StructType transformSchema(org.apache.spark.sql.catalyst.types.StructType schema, ParamMap paramMap)
PipelineStage
transformSchema
in class PipelineStage