org.apache.spark.ml.util.DefaultParamsReader Scala Examples

The following examples show how to use org.apache.spark.ml.util.DefaultParamsReader. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
Example 1
Source File: MathUnary.scala    From mleap   with Apache License 2.0 5 votes vote down vote up 
package org.apache.spark.ml.mleap.feature

import ml.combust.mleap.core.feature.{MathUnaryModel, UnaryOperation}
import org.apache.hadoop.fs.Path
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.ml.Transformer
import org.apache.spark.ml.param.ParamMap
import org.apache.spark.ml.param.shared.{HasInputCol, HasOutputCol}
import org.apache.spark.ml.util.{DefaultParamsReader, DefaultParamsWriter, Identifiable, MLReadable, MLReader, MLWritable, MLWriter}
import org.apache.spark.sql.{DataFrame, Dataset}
import org.apache.spark.sql.types.{DoubleType, NumericType, StructField, StructType}
import org.apache.spark.sql.functions.udf


    private val className = classOf[MathUnary].getName

    override def load(path: String): MathUnary = {
      val metadata = DefaultParamsReader.loadMetadata(path, sc, className)

      val dataPath = new Path(path, "data").toString

      val data = sparkSession.read.parquet(dataPath).select("operation").head()
      val operation = data.getAs[String](0)

      val model = MathUnaryModel(UnaryOperation.forName(operation))
      val transformer = new MathUnary(metadata.uid, model)

      metadata.getAndSetParams(transformer)
      transformer
    }
  }

}