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Cacher.scala
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Cacher.scala
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// Copyright (C) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License. See LICENSE in project root for information.
package com.microsoft.azure.synapse.ml.stages
import com.microsoft.azure.synapse.ml.codegen.Wrappable
import com.microsoft.azure.synapse.ml.logging.{FeatureNames, SynapseMLLogging}
import org.apache.spark.ml.Transformer
import org.apache.spark.ml.param.{BooleanParam, ParamMap}
import org.apache.spark.ml.util.{DefaultParamsReadable, DefaultParamsWritable, Identifiable}
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.{DataFrame, Dataset}
class Cacher(val uid: String) extends Transformer with Wrappable with DefaultParamsWritable with SynapseMLLogging {
logClass(FeatureNames.Core)
val disable = new BooleanParam(this,
"disable", "Whether or disable caching (so that you can turn it off during evaluation)")
def getDisable: Boolean = $(disable)
def setDisable(value: Boolean): this.type = set(disable, value)
setDefault(disable->false)
override def transform(dataset: Dataset[_]): DataFrame = {
logTransform[DataFrame]({
if (!getDisable) {
dataset.toDF.cache()
} else {
dataset.toDF
}
}, dataset.columns.length)
}
override def copy(extra: ParamMap): Transformer = defaultCopy(extra)
override def transformSchema(schema: StructType): StructType = schema
def this() = this(Identifiable.randomUID("Cacher"))
}
object Cacher extends DefaultParamsReadable[Cacher]