hivemall.factorization.fm.FMPredictGenericUDAF 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.factorization.fm;
import static org.apache.hadoop.hive.ql.util.JavaDataModel.JAVA64_ARRAY_META;
import static org.apache.hadoop.hive.ql.util.JavaDataModel.JAVA64_REF;
import static org.apache.hadoop.hive.ql.util.JavaDataModel.PRIMITIVES2;
import hivemall.utils.hadoop.HiveUtils;
import hivemall.utils.hadoop.WritableUtils;
import java.util.ArrayList;
import javax.annotation.Nonnull;
import javax.annotation.Nullable;
import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.exec.UDFArgumentLengthException;
import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.ql.parse.SemanticException;
import org.apache.hadoop.hive.ql.udf.generic.AbstractGenericUDAFResolver;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AbstractAggregationBuffer;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationType;
import org.apache.hadoop.hive.serde2.io.DoubleWritable;
import org.apache.hadoop.hive.serde2.lazybinary.LazyBinaryArray;
import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StandardListObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.StructField;
import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableDoubleObjectInspector;
import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
@Description(name = "fm_predict",
value = "_FUNC_(Float Wj, array Vjf, float Xj) - Returns a prediction value in Double")
public final class FMPredictGenericUDAF extends AbstractGenericUDAFResolver {
private FMPredictGenericUDAF() {}
@Override
public Evaluator getEvaluator(TypeInfo[] typeInfo) throws SemanticException {
if (typeInfo.length != 3) {
throw new UDFArgumentLengthException(
"Expected argument length is 3 but given argument length was " + typeInfo.length);
}
if (!HiveUtils.isNumberTypeInfo(typeInfo[0])) {
throw new UDFArgumentTypeException(0,
"Number type is expected for the first argument Wj: " + typeInfo[0].getTypeName());
}
if (typeInfo[1].getCategory() != Category.LIST) {
throw new UDFArgumentTypeException(1,
"List type is expected for the second argument Vjf: " + typeInfo[1].getTypeName());
}
ListTypeInfo typeInfo1 = (ListTypeInfo) typeInfo[1];
if (!HiveUtils.isNumberTypeInfo(typeInfo1.getListElementTypeInfo())) {
throw new UDFArgumentTypeException(1,
"Number type is expected for the element type of list Vjf: "
+ typeInfo1.getTypeName());
}
if (!HiveUtils.isNumberTypeInfo(typeInfo[2])) {
throw new UDFArgumentTypeException(2,
"Number type is expected for the third argument Xj: " + typeInfo[2].getTypeName());
}
return new Evaluator();
}
public static class Evaluator extends GenericUDAFEvaluator {
// input OI
private PrimitiveObjectInspector wOI;
private ListObjectInspector vOI;
private PrimitiveObjectInspector vElemOI;
private PrimitiveObjectInspector xOI;
// merge OI
private StructObjectInspector internalMergeOI;
private StructField retField, sumVjXjField, sumV2X2Field;
private WritableDoubleObjectInspector retOI;
private StandardListObjectInspector sumVjXjOI, sumV2X2OI;
public Evaluator() {}
@Override
public ObjectInspector init(Mode mode, ObjectInspector[] parameters) throws HiveException {
assert (parameters.length == 3);
super.init(mode, parameters);
// initialize input
if (mode == Mode.PARTIAL1 || mode == Mode.COMPLETE) {// from original data
this.wOI = HiveUtils.asDoubleCompatibleOI(parameters, 0);
this.vOI = HiveUtils.asListOI(parameters, 1);
this.vElemOI = HiveUtils.asDoubleCompatibleOI(vOI.getListElementObjectInspector());
this.xOI = HiveUtils.asDoubleCompatibleOI(parameters, 2);
} else {// from partial aggregation
StructObjectInspector soi = (StructObjectInspector) parameters[0];
this.internalMergeOI = soi;
this.retField = soi.getStructFieldRef("ret");
this.sumVjXjField = soi.getStructFieldRef("sumVjXj");
this.sumV2X2Field = soi.getStructFieldRef("sumV2X2");
this.retOI = PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
this.sumVjXjOI = ObjectInspectorFactory.getStandardListObjectInspector(
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
this.sumV2X2OI = ObjectInspectorFactory.getStandardListObjectInspector(
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
}
// initialize output
final ObjectInspector outputOI;
if (mode == Mode.PARTIAL1 || mode == Mode.PARTIAL2) {// terminatePartial
outputOI = internalMergeOI();
} else {
outputOI = PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
}
return outputOI;
}
private static StructObjectInspector internalMergeOI() {
ArrayList fieldNames = new ArrayList();
ArrayList fieldOIs = new ArrayList();
fieldNames.add("ret");
fieldOIs.add(PrimitiveObjectInspectorFactory.writableDoubleObjectInspector);
fieldNames.add("sumVjXj");
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
fieldNames.add("sumV2X2");
fieldOIs.add(ObjectInspectorFactory.getStandardListObjectInspector(
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector));
return ObjectInspectorFactory.getStandardStructObjectInspector(fieldNames, fieldOIs);
}
@Override
public FMPredictAggregationBuffer getNewAggregationBuffer() throws HiveException {
FMPredictAggregationBuffer buf = new FMPredictAggregationBuffer();
buf.reset();
return buf;
}
@Override
public void reset(@SuppressWarnings("deprecation") AggregationBuffer agg)
throws HiveException {
FMPredictAggregationBuffer buf = (FMPredictAggregationBuffer) agg;
buf.reset();
}
@Override
public void iterate(@SuppressWarnings("deprecation") AggregationBuffer agg,
Object[] parameters) throws HiveException {
if (parameters[0] == null) {
return;
}
FMPredictAggregationBuffer buf = (FMPredictAggregationBuffer) agg;
double w = PrimitiveObjectInspectorUtils.getDouble(parameters[0], wOI);
if (parameters[1] == null || /* for TD */vOI.getListLength(parameters[1]) == 0) {// Vif was null
buf.iterate(w);
} else {
if (parameters[2] == null) {
throw new UDFArgumentException("The third argument Xj must not be null");
}
double x = PrimitiveObjectInspectorUtils.getDouble(parameters[2], xOI);
buf.iterate(w, x, parameters[1], vOI, vElemOI);
}
}
@Override
public Object terminatePartial(@SuppressWarnings("deprecation") AggregationBuffer agg)
throws HiveException {
FMPredictAggregationBuffer buf = (FMPredictAggregationBuffer) agg;
final Object[] partialResult = new Object[3];
partialResult[0] = new DoubleWritable(buf.ret);
if (buf.sumVjXj != null) {
partialResult[1] = WritableUtils.toWritableList(buf.sumVjXj);
partialResult[2] = WritableUtils.toWritableList(buf.sumV2X2);
}
return partialResult;
}
@Override
public void merge(@SuppressWarnings("deprecation") AggregationBuffer agg, Object partial)
throws HiveException {
if (partial == null) {
return;
}
FMPredictAggregationBuffer buf = (FMPredictAggregationBuffer) agg;
Object o1 = internalMergeOI.getStructFieldData(partial, retField);
double ret = retOI.get(o1);
Object sumVjXj = internalMergeOI.getStructFieldData(partial, sumVjXjField);
Object sumV2X2 = internalMergeOI.getStructFieldData(partial, sumV2X2Field);
// --------------------------------------------------------------
// [workaround]
// java.lang.ClassCastException: org.apache.hadoop.hive.serde2.lazybinary.LazyBinaryArray
// cannot be cast to [Ljava.lang.Object;
if (sumVjXj instanceof LazyBinaryArray) {
sumVjXj = ((LazyBinaryArray) sumVjXj).getList();
}
if (sumV2X2 instanceof LazyBinaryArray) {
sumV2X2 = ((LazyBinaryArray) sumV2X2).getList();
}
// --------------------------------------------------------------
buf.merge(ret, sumVjXj, sumV2X2, sumVjXjOI, sumV2X2OI);
}
@Override
public DoubleWritable terminate(@SuppressWarnings("deprecation") AggregationBuffer agg)
throws HiveException {
FMPredictAggregationBuffer buf = (FMPredictAggregationBuffer) agg;
double predict = buf.getPrediction();
return new DoubleWritable(predict);
}
}
@AggregationType(estimable = true)
public static class FMPredictAggregationBuffer extends AbstractAggregationBuffer {
private double ret;
private double[] sumVjXj;
private double[] sumV2X2;
FMPredictAggregationBuffer() {
super();
}
void reset() {
this.ret = 0.d;
this.sumVjXj = null;
this.sumV2X2 = null;
}
void iterate(double Wj) {
this.ret += Wj;
}
void iterate(final double Wj, final double Xj, @Nonnull final Object Vif,
@Nonnull final ListObjectInspector vOI,
@Nonnull final PrimitiveObjectInspector vElemOI) throws HiveException {
this.ret += (Wj * Xj);
final int factors = vOI.getListLength(Vif);
if (factors < 1) {
throw new HiveException("# of Factor should be more than 0: " + factors);
}
if (sumVjXj == null) {
this.sumVjXj = new double[factors];
this.sumV2X2 = new double[factors];
} else if (sumVjXj.length != factors) {
throw new HiveException("Mismatch in the number of factors");
}
for (int f = 0; f < factors; f++) {
Object o = vOI.getListElement(Vif, f);
if (o == null) {
throw new HiveException("Vj" + f + " should not be null");
}
double v = PrimitiveObjectInspectorUtils.getDouble(o, vElemOI);
double vx = v * Xj;
sumVjXj[f] += vx;
sumV2X2[f] += (vx * vx);
}
}
void merge(final double o_ret, @Nullable final Object o_sumVjXj,
@Nullable final Object o_sumV2X2,
@Nonnull final StandardListObjectInspector sumVjXjOI,
@Nonnull final StandardListObjectInspector sumV2X2OI) throws HiveException {
this.ret += o_ret;
if (o_sumVjXj == null) {
return;
}
if (o_sumV2X2 == null) {//sanity check
throw new HiveException("o_sumV2X2 should not be null");
}
final int factors = sumVjXjOI.getListLength(o_sumVjXj);
if (sumVjXj == null) {
this.sumVjXj = new double[factors];
this.sumV2X2 = new double[factors];
} else if (sumVjXj.length != factors) {//sanity check
throw new HiveException("Mismatch in the number of factors");
}
final WritableDoubleObjectInspector doubleOI =
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector;
for (int f = 0; f < factors; f++) {
Object o1 = sumVjXjOI.getListElement(o_sumVjXj, f);
Object o2 = sumV2X2OI.getListElement(o_sumV2X2, f);
double d1 = doubleOI.get(o1);
double d2 = doubleOI.get(o2);
sumVjXj[f] += d1;
sumV2X2[f] += d2;
}
}
double getPrediction() {
double predict = this.ret;
if (sumVjXj != null) {
final int factors = sumVjXj.length;
for (int f = 0; f < factors; f++) {
double d1 = sumVjXj[f];
double d2 = sumV2X2[f];
predict += 0.5d * (d1 * d1 - d2);
}
}
return predict;
}
@Override
public int estimate() {
if (sumVjXj == null) {
return PRIMITIVES2 + 2 * JAVA64_REF;
} else {
// model.array() = JAVA64_ARRAY_META + JAVA64_REF
return PRIMITIVES2 + 2 * (JAVA64_ARRAY_META + PRIMITIVES2 * sumVjXj.length);
}
}
}
}
© 2015 - 2025 Weber Informatics LLC | Privacy Policy