ml.dmlc.xgboost4j.scala.example.CrossValidation.scala Maven / Gradle / Ivy
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/*
Copyright (c) 2014 by Contributors
Licensed 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 ml.dmlc.xgboost4j.scala.example
import scala.collection.mutable
import ml.dmlc.xgboost4j.scala.{XGBoost, DMatrix}
object CrossValidation {
def main(args: Array[String]): Unit = {
val trainMat: DMatrix = new DMatrix("../../demo/data/agaricus.txt.train?format=libsvm")
// set params
val params = new mutable.HashMap[String, Any]
params.put("eta", 1.0)
params.put("max_depth", 3)
params.put("silent", 1)
params.put("nthread", 6)
params.put("objective", "binary:logistic")
params.put("gamma", 1.0)
params.put("eval_metric", "error")
// do 5-fold cross validation
val round: Int = 2
val nfold: Int = 5
// set additional eval_metrics
val metrics: Array[String] = null
val evalHist: Array[String] =
XGBoost.crossValidation(trainMat, params.toMap, round, nfold, metrics)
}
}