public class CrossValidator extends Estimator<CrossValidatorModel> implements CrossValidatorParams, Logging
| Constructor and Description |
|---|
CrossValidator() |
| Modifier and Type | Method and Description |
|---|---|
CrossValidatorModel |
fit(SchemaRDD dataset,
ParamMap paramMap)
Fits a single model to the input data with provided parameter map.
|
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.
|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitestimator, estimatorParamMaps, evaluator, getEstimator, getEstimatorParamMaps, getEvaluator, getNumFolds, numFoldsexplainParams, get, getParam, isSet, paramMap, params, set, validate, validateuidinitializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarningpublic 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)
Estimatorfit 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)
PipelineStagetransformSchema in class PipelineStage