hivemall.ftvec.ExtractFeatureUDF Maven / Gradle / Ivy
The newest version!
/*
* 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 static hivemall.utils.hadoop.WritableUtils.val;
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.Text;
@Description(name = "extract_feature",
value = "_FUNC_(feature_vector in array) - Returns features in array")
@UDFType(deterministic = true, stateful = false)
public class ExtractFeatureUDF extends UDF {
public Text evaluate(String featureVector) {
if (featureVector == null) {
return null;
}
return val(extractFeature(featureVector));
}
public List evaluate(List featureVectors) {
if (featureVectors == null) {
return null;
}
final int size = featureVectors.size();
final Text[] output = new Text[size];
for (int i = 0; i < size; i++) {
String fv = featureVectors.get(i);
if (fv != null) {
output[i] = new Text(extractFeature(fv));
}
}
return Arrays.asList(output);
}
public static String extractFeature(final String ftvec) {
int pos = ftvec.indexOf(":");
if (pos > 0) {
return ftvec.substring(0, pos);
} else {
return ftvec;
}
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy