ai.h2o.sparkling.ml.algos.DistributionBasedH2OTrainFramePreparation.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,
 * 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 DistributionBasedH2OTrainFramePreparation extends H2OTrainFramePreparation {

  def getDistribution(): String

  def getLabelCol(): String

  override protected def prepareH2OTrainFrameForFitting(trainFrame: H2OFrame): Unit = {
    super.prepareH2OTrainFrameForFitting(trainFrame)
    if (ProblemType.distributionToProblemType(getDistribution()) == ProblemType.Classification) {
      if (trainFrame.columns.find(_.name == getLabelCol()).get.dataType != H2OColumnType.`enum`) {
        trainFrame.convertColumnsToCategorical(Array(getLabelCol()))
      }
    }
  }
}