ValidatorParams

Table 1. ValidatorParams' Parameters
Parameter Default Value Description

estimator

(undefined)

Estimator for best model selection

estimatorParamMaps

(undefined)

Param maps for the estimator

evaluator

(undefined)

Evaluator to select hyper-parameters that maximize the validated metric

logTuningParams Method

logTuningParams(instrumentation: Instrumentation[_]): Unit

logTuningParams…​FIXME

Note
logTuningParams is used when…​FIXME

loadImpl Method

loadImpl[M](
  path: String,
  sc: SparkContext,
  expectedClassName: String): (Metadata, Estimator[M], Evaluator, Array[ParamMap])

loadImpl…​FIXME

Note
loadImpl is used when…​FIXME

transformSchemaImpl Method

transformSchemaImpl(schema: StructType): StructType

transformSchemaImpl…​FIXME

Note
transformSchemaImpl is used when CrossValidator and TrainValidationSplit validate and transform schema.

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