ai.h2o.sparkling.ml.algos.H2OGLM.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.algos
import ai.h2o.sparkling.ml.params.H2OGLMParams
import ai.h2o.sparkling.ml.utils.H2OParamsReadable
import hex.glm.GLMModel.GLMParameters
import org.apache.spark.ml.util.Identifiable
import ai.h2o.sparkling.ml.models.H2OGLMMOJOModel
import org.apache.spark.sql.Dataset
class H2OGLM(override val uid: String)
extends H2OSupervisedAlgorithmWithFoldColumn[GLMParameters]
with H2OGLMParams
with FamilyBasedH2OTrainFramePreparation {
def this() = this(Identifiable.randomUID(classOf[H2OGLM].getSimpleName))
override def fit(dataset: Dataset[_]): H2OGLMMOJOModel = {
super.fit(dataset).asInstanceOf[H2OGLMMOJOModel]
}
}
object H2OGLM extends H2OParamsReadable[H2OGLM]