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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 org.apache.spark.ml.param
private[ml] trait HasRegParam extends Params {
/** param for regularization parameter */
val regParam: DoubleParam = new DoubleParam(this, "regParam", "regularization parameter")
def getRegParam: Double = get(regParam)
}
private[ml] trait HasMaxIter extends Params {
/** param for max number of iterations */
val maxIter: IntParam = new IntParam(this, "maxIter", "max number of iterations")
def getMaxIter: Int = get(maxIter)
}
private[ml] trait HasFeaturesCol extends Params {
/** param for features column name */
val featuresCol: Param[String] =
new Param(this, "featuresCol", "features column name", Some("features"))
def getFeaturesCol: String = get(featuresCol)
}
private[ml] trait HasLabelCol extends Params {
/** param for label column name */
val labelCol: Param[String] = new Param(this, "labelCol", "label column name", Some("label"))
def getLabelCol: String = get(labelCol)
}
private[ml] trait HasScoreCol extends Params {
/** param for score column name */
val scoreCol: Param[String] = new Param(this, "scoreCol", "score column name", Some("score"))
def getScoreCol: String = get(scoreCol)
}
private[ml] trait HasPredictionCol extends Params {
/** param for prediction column name */
val predictionCol: Param[String] =
new Param(this, "predictionCol", "prediction column name", Some("prediction"))
def getPredictionCol: String = get(predictionCol)
}
private[ml] trait HasThreshold extends Params {
/** param for threshold in (binary) prediction */
val threshold: DoubleParam = new DoubleParam(this, "threshold", "threshold in prediction")
def getThreshold: Double = get(threshold)
}
private[ml] trait HasInputCol extends Params {
/** param for input column name */
val inputCol: Param[String] = new Param(this, "inputCol", "input column name")
def getInputCol: String = get(inputCol)
}
private[ml] trait HasOutputCol extends Params {
/** param for output column name */
val outputCol: Param[String] = new Param(this, "outputCol", "output column name")
def getOutputCol: String = get(outputCol)
}
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