/*
* Copyright (C) 2011 The Android Open Source Project
*
* Licensed 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 android.bordeaux.learning;
/**
* Wrapper for multiclass passive aggressive classifier.
* version 1 supports indexed sparse feature only.
*/
public class MulticlassPA {
public MulticlassPA(int numClasses, int numDimensions, float aggressiveness) {
nativeClassifier = initNativeClassifier(numClasses, numDimensions,
aggressiveness);
}
/**
* Train on one example
*/
public boolean sparseTrainOneExample(int[] index_array,
float[] float_array,
int target) {
return nativeSparseTrainOneExample(
index_array, float_array, target, nativeClassifier);
}
/**
* Train on one example
*/
public int sparseGetClass(int[] index_array, float[] float_array) {
return nativeSparseGetClass(index_array, float_array, nativeClassifier);
}
static {
System.loadLibrary("bordeaux");
}
private long nativeClassifier;
/*
* Initialize native classifier
*/
private native long initNativeClassifier(int num_classes, int num_dims, float aggressiveness);
private native void deleteNativeClassifier(long classPtr);
private native boolean nativeSparseTrainOneExample(int[] index_array,
float[] float_array,
int target, long classPtr);
private native int nativeSparseGetClass(int[] index_array,
float[] float_array,
long classPtr);
}
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