hivemall.ftvec.ExtractWeightUDF Maven / Gradle / Ivy
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* 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 java.util.Arrays;
import java.util.List;
import javax.annotation.Nonnull;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDF;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.udf.UDFType;
import org.apache.hadoop.hive.serde2.io.DoubleWritable;
@Description(name = "extract_weight",
value = "_FUNC_(feature_vector in array) - Returns the weights of features in array")
@UDFType(deterministic = true, stateful = false)
public final class ExtractWeightUDF extends UDF {
public DoubleWritable evaluate(String featureVector) throws UDFArgumentException {
return extractWeights(featureVector);
}
public List evaluate(List featureVectors) throws UDFArgumentException {
if (featureVectors == null) {
return null;
}
final int size = featureVectors.size();
final DoubleWritable[] output = new DoubleWritable[size];
for (int i = 0; i < size; i++) {
String ftvec = featureVectors.get(i);
output[i] = extractWeights(ftvec);
}
return Arrays.asList(output);
}
static DoubleWritable extractWeights(String ftvec) throws UDFArgumentException {
if (ftvec == null) {
return null;
}
final int pos = ftvec.lastIndexOf(':');
if (pos > 0) {
String s = ftvec.substring(pos + 1);
double d = parseDouble(s);
return new DoubleWritable(d);
} else {
return new DoubleWritable(1.d);
}
}
private static double parseDouble(@Nonnull final String v) throws UDFArgumentException {
try {
return Double.parseDouble(v);
} catch (NumberFormatException nfe) {
throw new UDFArgumentException(nfe);
}
}
}
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