ai.h2o.sparkling.ml.algos.FamilyBasedH2OTrainFramePreparation.scala Maven / Gradle / Ivy
The newest version!
/*
* 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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package ai.h2o.sparkling.ml.algos
import ai.h2o.sparkling.{H2OColumnType, H2OFrame}
trait FamilyBasedH2OTrainFramePreparation extends H2OTrainFramePreparation {
def getFamily(): String
def getLabelCol(): String
override protected def prepareH2OTrainFrameForFitting(trainFrame: H2OFrame): Unit = {
super.prepareH2OTrainFrameForFitting(trainFrame)
if (ProblemType.familyToProblemType(getFamily()) == ProblemType.Classification) {
if (trainFrame.columns.find(_.name == getLabelCol()).get.dataType != H2OColumnType.`enum`) {
trainFrame.convertColumnsToCategorical(Array(getLabelCol()))
}
}
}
}