/*
* 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.ftvec;
import hivemall.HivemallConstants;
import hivemall.utils.hadoop.WritableUtils;
import java.util.Arrays;
import java.util.List;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDF;
import org.apache.hadoop.hive.ql.udf.UDFType;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
@Description(
name = "add_bias",
value = "_FUNC_(feature_vector in array<string>) - Returns features with a bias in array<string>")
@UDFType(deterministic = true, stateful = false)
public final class AddBiasUDF extends UDF {
public List<Text> evaluate(List<String> ftvec) {
return evaluate(ftvec, HivemallConstants.BIAS_CLAUSE);
}
public List<Text> evaluate(List<String> ftvec, String biasClause) {
float biasValue = 1.f;
return evaluate(ftvec, biasClause, biasValue);
}
public List<Text> evaluate(List<String> ftvec, String biasClause, float biasValue) {
int size = ftvec.size();
String[] newvec = new String[size + 1];
ftvec.toArray(newvec);
newvec[size] = biasClause + ":" + Float.toString(biasValue);
return WritableUtils.val(newvec);
}
public List<IntWritable> evaluate(List<IntWritable> ftvec, IntWritable biasClause) {
int size = ftvec.size();
IntWritable[] newvec = new IntWritable[size + 1];
ftvec.toArray(newvec);
newvec[size] = biasClause;
return Arrays.asList(newvec);
}
}