ai.h2o.sparkling.ml.params.HasLinearConstraints.scala Maven / Gradle / Ivy
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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* 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 ai.h2o.sparkling.utils.DataFrameSerializationWrappers._
import org.apache.spark.sql.DataFrame
trait HasLinearConstraints extends H2OAlgoParamsBase with HasDataFrameSerializer {
private val linearConstraints = new NullableDataFrameParam(
this,
"linearConstraints",
"Data frame used to specify linear constraints involving more than one coefficients in standard form.")
setDefault(linearConstraints -> null)
def getLinearConstraints(): DataFrame = $(linearConstraints)
def setLinearConstraints(value: DataFrame): this.type = set(linearConstraints, toWrapper(value))
private[sparkling] def getLinearConstraintsParam(trainingFrame: H2OFrame): Map[String, Any] = {
Map("linear_constraints" -> convertDataFrameToH2OFrameKey(getLinearConstraints()))
}
override private[sparkling] def getSWtoH2OParamNameMap(): Map[String, String] = {
super.getSWtoH2OParamNameMap() ++ Map("linearConstraints" -> "linear_constraints")
}
}