| /* |
| * 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; |
| } |