ai.h2o.sparkling.ml.algos.H2ORuleFit.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.ml.params.H2ORuleFitParams
import ai.h2o.sparkling.ml.utils.H2OParamsReadable
import hex.rulefit.RuleFitModel.RuleFitParameters
import org.apache.spark.ml.util.Identifiable
import ai.h2o.sparkling.ml.models.H2ORuleFitMOJOModel
import org.apache.spark.sql.Dataset
class H2ORuleFit(override val uid: String)
extends H2OSupervisedAlgorithm[RuleFitParameters]
with H2ORuleFitParams
with DistributionBasedH2OTrainFramePreparation {
def this() = this(Identifiable.randomUID(classOf[H2ORuleFit].getSimpleName))
override def fit(dataset: Dataset[_]): H2ORuleFitMOJOModel = {
super.fit(dataset).asInstanceOf[H2ORuleFitMOJOModel]
}
}
object H2ORuleFit extends H2OParamsReadable[H2ORuleFit]