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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.factorization.fm;
import it.unimi.dsi.fastutil.ints.Int2FloatMap;
import it.unimi.dsi.fastutil.ints.Int2FloatOpenHashMap;
import it.unimi.dsi.fastutil.ints.Int2ObjectMap;
import it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap;
import java.util.Arrays;
import javax.annotation.Nonnull;
import org.apache.hadoop.hive.ql.metadata.HiveException;
public final class FMIntFeatureMapModel extends FactorizationMachineModel {
private static final int DEFAULT_MAPSIZE = 4096;
// LEARNING PARAMS
private float _w0;
@Nonnull
private final Int2FloatMap _w;
@Nonnull
private final Int2ObjectMap _V;
private int _minIndex, _maxIndex;
public FMIntFeatureMapModel(@Nonnull FMHyperParameters params) {
super(params);
this._w0 = 0.f;
this._w = new Int2FloatOpenHashMap(DEFAULT_MAPSIZE);
_w.defaultReturnValue(0.f);
this._V = new Int2ObjectOpenHashMap(DEFAULT_MAPSIZE);
this._minIndex = 0;
this._maxIndex = 0;
}
@Override
public int getSize() {
return _w.size();
}
@Override
protected int getMinIndex() {
return _minIndex;
}
@Override
protected int getMaxIndex() {
return _maxIndex;
}
@Override
public float getW0() {
return _w0;
}
@Override
protected void setW0(float nextW0) {
this._w0 = nextW0;
}
@Override
protected float getW(final int i) {
assert (i >= 1) : i;
return _w.get(i);
}
@Override
public float getW(@Nonnull final Feature x) {
final int i = x.getFeatureIndex();
if (i == 0) {
return _w0;
} else {
assert (i >= 1) : i;
return _w.get(i);
}
}
@Override
protected void setW(@Nonnull Feature x, float nextWi) {
final int i = x.getFeatureIndex();
if (i == 0) {
this._w0 = nextWi;
} else {
assert (i >= 1) : i;
_w.put(i, nextWi);
}
}
@Override
protected float[] getV(int i, boolean init) {
assert (i >= 1) : i;
return _V.get(i);
}
@Override
public float getV(@Nonnull final Feature x, final int f) {
int i = x.getFeatureIndex();
assert (i >= 1) : i;
final float[] Vi = _V.get(i);
if (Vi == null) {
return 0.f;
}
return Vi[f];
}
@Override
protected void setV(@Nonnull Feature x, int f, float nextVif) {
final int i = x.getFeatureIndex();
assert (i >= 1) : i;
float[] vi = _V.get(i);
assert (vi != null) : "V[" + i + "] was null";
vi[f] = nextVif;
}
@Override
public void check(@Nonnull final Feature[] x) throws HiveException {
for (Feature e : x) {
if (e == null) {
continue;
}
final int idx = e.getFeatureIndex();
if (idx < 1) {
throw new HiveException(
"Index of x should be greater than or equals to 1: " + Arrays.toString(x));
}
if (!_w.containsKey(idx)) {
_w.put(idx, 0.f);
}
if (!_V.containsKey(idx)) {
float[] tmp = initV();
_V.put(idx, tmp);
}
this._maxIndex = Math.max(_maxIndex, idx);
this._minIndex = Math.min(_minIndex, idx);
}
}
}
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