/*
* 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 hex

import hex.Model.Output

/**
 * Helper class to access package-private methods of Model API.
 */
object ModelUtils {

  def classify(row: Array[Double], m : Model[_, _, _]): (String, Array[Double]) = {
    val modelOutput = m._output.asInstanceOf[Output]
    val nclasses = modelOutput.nclasses()
    val classNames = modelOutput.classNames()
    val pred = m.score0(row, new Array[Double](nclasses + 1))
    (classNames(pred(0).asInstanceOf[Int]), pred slice (1, pred.length))
  }
}

/*
* 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 hex

import hex.Model.Output
import water.util.ArrayUtils

/**
 * Helper class to access package-private methods of Model API.
 */
object ModelUtils {

  def classify(row: Array[Double], m : Model[_, _, _]): (String, Array[Double]) = {
    val modelOutput = m._output.asInstanceOf[Output]
    val nclasses = modelOutput.nclasses()
    val classNames = modelOutput.classNames()
    val pred = m.score0(row, new Array[Double](nclasses + 1))
    val predProb = pred slice (1, pred.length)
    val maxProbIdx = ArrayUtils.maxIndex(predProb)
    (classNames(maxProbIdx), predProb)
  }
}

Return right category in AskCraig application
[SW-68] Return right category in AskCraig application

H2O has started to return 0 instead of index of max probability.
The fix pick the index by finding the max probability in returned model prediction.
