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- /*
- * Copyright (c) 2009-2010 Chris Smith
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to deal
- * in the Software without restriction, including without limitation the rights
- * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
- * copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in
- * all copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-
- package uk.co.md87.android.common.aggregator;
-
- import android.content.Context;
- import android.os.Handler;
-
- import java.util.Map.Entry;
- import java.util.Set;
-
- import uk.co.md87.android.common.Classifier;
- import uk.co.md87.android.common.accel.AccelReader;
- import uk.co.md87.android.common.accel.Sampler;
-
- /**
- * An {@link Aggregator} which automatically samples data from an
- * {@link AccelReader} using a {@link Sampler}, and then classifies it using
- * a {@link Classifier}.
- *
- * @author chris
- */
- public class AutoAggregator extends Aggregator implements Runnable {
-
- protected final Sampler sampler;
- protected final Classifier classifier;
- protected final Runnable callback;
-
- public AutoAggregator(final Context context, final Handler handler,
- final AccelReader reader, final Set<Entry<Float[], String>> model,
- final Runnable callback) {
- this.sampler = new Sampler(handler, reader, this);
- this.classifier = new Classifier(model);
- this.callback = callback;
- }
-
- /** {@inheritDoc} */
- public void run() {
- addClassification(classifier.classify(sampler.getData()));
- callback.run();
- }
-
- public void stop() {
- sampler.stop();
- }
-
- public void start() {
- sampler.start();
- }
-
- }
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