/*
* 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.classifier;
import hivemall.model.FeatureValue;
import javax.annotation.Nonnull;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
@Description(name = "train_perceptron",
value = "_FUNC_(list<string|int|bigint> features, int label [, const string options])"
+ " - Returns a relation consists of <string|int|bigint feature, float weight>",
extended = "Build a prediction model by Perceptron binary classifier")
public final class PerceptronUDTF extends BinaryOnlineClassifierUDTF {
@Override
public StructObjectInspector initialize(ObjectInspector[] argOIs) throws UDFArgumentException {
final int numArgs = argOIs.length;
if (numArgs != 2 && numArgs != 3) {
throw new UDFArgumentException(
"_FUNC_ takes 2 or 3 arguments: List<Text|Int|BitInt> features, int label [, constant string options]");
}
return super.initialize(argOIs);
}
@Override
protected void update(@Nonnull final FeatureValue[] features, float y, float p) {
update(features, y);
}
}