ai.h2o.sparkling.ml.params.HasInitialWeights.scala Maven / Gradle / Ivy
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* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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package ai.h2o.sparkling.ml.params
import ai.h2o.sparkling.H2OFrame
import org.apache.spark.ml.linalg.DenseMatrix
trait HasInitialWeights extends H2OAlgoParamsBase {
private val initialWeights = new NullableMatrixArrayParam(
this,
"initialWeights",
"A array of weight matrices to be used for initialization of the neural network. " +
"If this parameter is set, the parameter 'initialBiases' has to be set as well.")
setDefault(initialWeights -> null)
def getInitialWeights(): Array[DenseMatrix] = $(initialWeights)
def setInitialWeights(value: Array[DenseMatrix]): this.type = set(initialWeights, value)
private[sparkling] def getInitialWeightsParam(trainingFrame: H2OFrame): Map[String, Any] = {
Map("initial_weights" -> convertMatrixToH2OFrameKeyArray(getInitialWeights()))
}
override private[sparkling] def getSWtoH2OParamNameMap(): Map[String, String] = {
super.getSWtoH2OParamNameMap() ++ Map("initialWeights" -> "initial_weights")
}
}