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/*
* 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.
*/
#include "jni/jni_multiclass_pa.h"
#include "native/multiclass_pa.h"
#include <vector>
using learningfw::MulticlassPA;
using std::vector;
using std::pair;
void CreateIndexValuePairs(const int* indices, const float* values,
const int length, vector<pair<int, float> >* pairs) {
pairs->clear();
for (int i = 0; i < length; ++i) {
pair<int, float> new_pair(indices[i], values[i]);
pairs->push_back(new_pair);
}
}
jlong Java_android_bordeaux_learning_MulticlassPA_initNativeClassifier(JNIEnv* /* env */,
jobject /* thiz */,
jint num_classes,
jint num_dims,
jfloat aggressiveness) {
MulticlassPA* classifier = new MulticlassPA(num_classes,
num_dims,
aggressiveness);
return ((jlong) classifier);
}
jboolean Java_android_bordeaux_learning_MulticlassPA_deleteNativeClassifier(JNIEnv* /* env */,
jobject /* thiz */,
jlong paPtr) {
MulticlassPA* classifier = (MulticlassPA*) paPtr;
delete classifier;
return JNI_TRUE;
}
jboolean Java_android_bordeaux_learning_MulticlassPA_nativeSparseTrainOneExample(JNIEnv* env,
jobject /* thiz */,
jintArray index_array,
jfloatArray value_array,
jint target,
jlong paPtr) {
MulticlassPA* classifier = (MulticlassPA*) paPtr;
if (classifier && index_array && value_array) {
jfloat* values = env->GetFloatArrayElements(value_array, NULL);
jint* indices = env->GetIntArrayElements(index_array, NULL);
const int value_len = env->GetArrayLength(value_array);
const int index_len = env->GetArrayLength(index_array);
if (values && indices && value_len == index_len) {
vector<pair<int, float> > inputs;
CreateIndexValuePairs(indices, values, value_len, &inputs);
classifier->SparseTrainOneExample(inputs, target);
env->ReleaseIntArrayElements(index_array, indices, JNI_ABORT);
env->ReleaseFloatArrayElements(value_array, values, JNI_ABORT);
return JNI_TRUE;
}
env->ReleaseIntArrayElements(index_array, indices, JNI_ABORT);
env->ReleaseFloatArrayElements(value_array, values, JNI_ABORT);
}
return JNI_FALSE;
}
jint Java_android_bordeaux_learning_MulticlassPA_nativeSparseGetClass(JNIEnv* env,
jobject /* thiz */,
jintArray index_array,
jfloatArray value_array,
jlong paPtr) {
MulticlassPA* classifier = (MulticlassPA*) paPtr;
if (classifier && index_array && value_array) {
jfloat* values = env->GetFloatArrayElements(value_array, NULL);
jint* indices = env->GetIntArrayElements(index_array, NULL);
const int value_len = env->GetArrayLength(value_array);
const int index_len = env->GetArrayLength(index_array);
if (values && indices && value_len == index_len) {
vector<pair<int, float> > inputs;
CreateIndexValuePairs(indices, values, value_len, &inputs);
env->ReleaseIntArrayElements(index_array, indices, JNI_ABORT);
env->ReleaseFloatArrayElements(value_array, values, JNI_ABORT);
return classifier->SparseGetClass(inputs);
}
env->ReleaseIntArrayElements(index_array, indices, JNI_ABORT);
env->ReleaseFloatArrayElements(value_array, values, JNI_ABORT);
}
return -1;
}
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