/*
* 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 hivemall.xgboost.tools;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import java.util.ArrayList;
import java.util.List;
@Description(
name = "xgboost_predict",
value = "_FUNC_(string rowid, string[] features, string model_id, array<byte> pred_model [, string options]) "
+ "- Returns a prediction result as (string rowid, float predicted)"
)
public final class XGBoostPredictUDTF extends hivemall.xgboost.XGBoostPredictUDTF {
public XGBoostPredictUDTF() {}
/** Return (string rowid, float predicted) as a result */
@Override
public StructObjectInspector getReturnOI() {
final ArrayList fieldNames = new ArrayList(2);
final ArrayList fieldOIs = new ArrayList(2);
fieldNames.add("rowid");
fieldOIs.add(PrimitiveObjectInspectorFactory.javaStringObjectInspector);
fieldNames.add("predicted");
fieldOIs.add(PrimitiveObjectInspectorFactory.javaFloatObjectInspector);
return ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
}
@Override
public void forwardPredicted(
final List<LabeledPointWithRowId> testData,
final float[][] predicted) throws HiveException {
assert(predicted.length == testData.size());
for(int i = 0; i < testData.size(); i++) {
assert(predicted[i].length == 1);
final String rowId = testData.get(i).rowId;
float p = predicted[i][0];
forward(new Object[]{rowId, p});
}
}
}