All Downloads are FREE. Search and download functionalities are using the official Maven repository.

hivemall.model.AbstractPredictionModel 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.model;

import hivemall.annotations.InternalAPI;
import hivemall.mix.MixedWeight;
import hivemall.mix.MixedWeight.WeightWithCovar;
import hivemall.mix.MixedWeight.WeightWithDelta;
import it.unimi.dsi.fastutil.ints.Int2ObjectMap;
import it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap;
import it.unimi.dsi.fastutil.objects.Object2ObjectMap;
import it.unimi.dsi.fastutil.objects.Object2ObjectOpenHashMap;

import javax.annotation.Nonnull;
import javax.annotation.Nullable;

public abstract class AbstractPredictionModel implements PredictionModel {
    public static final byte BYTE0 = 0;

    @Nullable
    protected ModelUpdateHandler handler;

    private long numMixed;
    private boolean cancelMixRequest;

    private Int2ObjectMap mixedRequests_i;
    private Object2ObjectMap mixedRequests_o;

    public AbstractPredictionModel() {
        this.numMixed = 0L;
        this.cancelMixRequest = false;
    }

    protected abstract boolean isDenseModel();

    @Override
    public ModelUpdateHandler getUpdateHandler() {
        return handler;
    }

    @Override
    public void configureMix(@Nonnull ModelUpdateHandler handler, boolean cancelMixRequest) {
        this.handler = handler;
        this.cancelMixRequest = cancelMixRequest;
        if (cancelMixRequest) {
            if (isDenseModel()) {
                this.mixedRequests_i = new Int2ObjectOpenHashMap(327680);
            } else {
                this.mixedRequests_o = new Object2ObjectOpenHashMap(327680);
            }
        }
    }

    @Override
    public final long getNumMixed() {
        return numMixed;
    }

    @Override
    public void resetDeltaUpdates(int feature) {
        throw new UnsupportedOperationException();
    }

    protected final void onUpdate(final int feature, final float weight, final float covar,
            final short clock, final int deltaUpdates, final boolean hasCovar) {
        if (handler != null) {
            if (deltaUpdates < 1) {
                return;
            }
            final boolean requestSent;
            try {
                requestSent = handler.onUpdate(feature, weight, covar, clock, deltaUpdates);
            } catch (Exception e) {
                throw new RuntimeException(e);
            }
            if (requestSent) {
                if (cancelMixRequest) {
                    if (hasCovar) {
                        MixedWeight prevMixed = mixedRequests_i.get(feature);
                        if (prevMixed == null) {
                            prevMixed = new WeightWithCovar(weight, covar);
                            mixedRequests_i.put(feature, prevMixed);
                        } else {
                            try {
                                handler.sendCancelRequest(feature, prevMixed);
                            } catch (Exception e) {
                                throw new RuntimeException(e);
                            }
                            prevMixed.setWeight(weight);
                            prevMixed.setCovar(covar);
                        }
                    } else {
                        MixedWeight prevMixed = mixedRequests_i.get(feature);
                        if (prevMixed == null) {
                            prevMixed = new WeightWithDelta(weight, deltaUpdates);
                            mixedRequests_i.put(feature, prevMixed);
                        } else {
                            try {
                                handler.sendCancelRequest(feature, prevMixed);
                            } catch (Exception e) {
                                throw new RuntimeException(e);
                            }
                            prevMixed.setWeight(weight);
                            prevMixed.setDeltaUpdates(deltaUpdates);
                        }
                    }
                }
                resetDeltaUpdates(feature);
            }
        }
    }

    protected final void onUpdate(final Object feature, final IWeightValue value) {
        if (handler != null) {
            if (!value.isTouched()) {
                return;
            }
            final float weight = value.get();
            final short clock = value.getClock();
            final int deltaUpdates = value.getDeltaUpdates();
            if (value.hasCovariance()) {
                final float covar = value.getCovariance();
                final boolean requestSent;
                try {
                    requestSent = handler.onUpdate(feature, weight, covar, clock, deltaUpdates);
                } catch (Exception e) {
                    throw new RuntimeException(e);
                }
                if (requestSent) {
                    if (cancelMixRequest) {
                        MixedWeight prevMixed = mixedRequests_o.get(feature);
                        if (prevMixed == null) {
                            prevMixed = new WeightWithCovar(weight, covar);
                            mixedRequests_o.put(feature, prevMixed);
                        } else {
                            try {
                                handler.sendCancelRequest(feature, prevMixed);
                            } catch (Exception e) {
                                throw new RuntimeException(e);
                            }
                            prevMixed.setWeight(weight);
                            prevMixed.setCovar(covar);
                        }
                    }
                    value.setDeltaUpdates(BYTE0);
                }
            } else {
                final boolean requestSent;
                try {
                    requestSent = handler.onUpdate(feature, weight, 1.f, clock, deltaUpdates);
                } catch (Exception e) {
                    throw new RuntimeException(e);
                }
                if (requestSent) {
                    if (cancelMixRequest) {
                        MixedWeight prevMixed = mixedRequests_o.get(feature);
                        if (prevMixed == null) {
                            prevMixed = new WeightWithDelta(weight, deltaUpdates);
                            mixedRequests_o.put(feature, prevMixed);
                        } else {
                            try {
                                handler.sendCancelRequest(feature, prevMixed);
                            } catch (Exception e) {
                                throw new RuntimeException(e);
                            }
                            prevMixed.setWeight(weight);
                            prevMixed.setDeltaUpdates(deltaUpdates);
                        }
                    }
                    value.setDeltaUpdates(BYTE0);
                }
            }
        }
    }

    @Override
    public void set(@Nonnull Object feature, float weight, float covar, short clock) {
        if (hasCovariance()) {
            _set(feature, weight, covar, clock);
        } else {
            _set(feature, weight, clock);
        }
        numMixed++;
    }

    @InternalAPI
    protected abstract void _set(@Nonnull Object feature, float weight, short clock);

    @InternalAPI
    protected abstract void _set(@Nonnull Object feature, float weight, float covar, short clock);

}




© 2015 - 2025 Weber Informatics LLC | Privacy Policy