| /packages/inputmethods/OpenWnn/src/jp/co/omronsoft/openwnn/ |
| WnnEngine.java | 54 * Predict words/phrases.
57 * @param minLen The minimum length of a word to predict (0 : no limit)
58 * @param maxLen The maximum length of a word to predict (-1 : no limit)
61 public int predict(ComposingText text, int minLen, int maxLen); method in interface:WnnEngine
97 * After {@link #predict(ComposingText, int, int)} or {@link #makeCandidateListOf(int)} or
100 * frequency order for {@link #predict(ComposingText, int, int)} and
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| SymbolList.java | 188 /** @see jp.co.omronsoft.openwnn.WnnEngine#predict */
189 public int predict(ComposingText text, int minLen, int maxLen) { method in class:SymbolList
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| /external/antlr/src/org/antlr/runtime/ |
| DFA.java | 57 /** From the input stream, predict what alternative will succeed
62 public int predict(IntStream input) method in class:DFA
66 System.err.println("Enter DFA.predict for decision "+decisionNumber);
93 if ( debug ) System.err.println("accept; predict "+accept[s]+" from state "+s);
130 if ( debug ) System.err.println("accept via EOF; predict "+accept[eof[s]]+" from "+eof[s]);
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| /frameworks/base/services/sensorservice/ |
| Fusion.cpp | 278 predict(w, dT);
367 void Fusion::predict(const vec3_t& w, float dT) { function in class:android::Fusion
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| /packages/inputmethods/PinyinIME/jni/share/ |
| dictlist.cpp | 233 size_t DictList::predict(const char16 last_hzs[], uint16 hzs_len, function in class:ime_pinyin::DictList
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| dicttrie.cpp | 937 size_t DictTrie::predict(const char16 *last_hzs, uint16 hzs_len, function in class:ime_pinyin::DictTrie
940 return dict_list_->predict(last_hzs, hzs_len, npre_items, npre_max, b4_used);
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| /external/opencv/ml/src/ |
| mlnbayes.cpp | 281 float CvNormalBayesClassifier::predict( const CvMat* samples, CvMat* results ) const function in class:CvNormalBayesClassifier
287 CV_FUNCNAME( "CvNormalBayesClassifier::predict" );
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| mlrtrees.cpp | 389 // predict oob samples
391 CV_CALL(predicted_node = tree->predict(&sample, &missing, true));
457 // predict "permuted" cases and calculate the number of votes for the
469 predct_resp = tree->predict(&sample, &missing, true)->value;
525 result += trees[i]->predict( sample1, missing1 ) ==
526 trees[i]->predict( sample2, missing2 ) ? 1 : 0;
535 float CvRTrees::predict( const CvMat* sample, const CvMat* missing ) const function in class:CvRTrees
539 CV_FUNCNAME("CvRTrees::predict");
551 CvDTreeNode* predicted_node = trees[k]->predict( sample, missing );
568 result += trees[k]->predict( sample, missing )->value
[all...] |
| mlem.cpp | 209 CvEM::predict( const CvMat* _sample, CvMat* _probs ) const function in class:CvEM
216 CV_FUNCNAME( "CvEM::predict" );
378 labels->data.i[i*lstep] = cvRound(predict(&sample, &prob));
[all...] |
| mlann_mlp.cpp | 266 float CvANN_MLP::predict( const CvMat* _inputs, CvMat* _outputs ) const function in class:CvANN_MLP
268 CV_FUNCNAME( "CvANN_MLP::predict" );
[all...] |
| mlsvm.cpp | 1877 float CvSVM::predict( const CvMat* sample ) const function in class:CvSVM
[all...] |
| mltree.cpp | 2881 CvDTreeNode* CvDTree::predict( const CvMat* _sample, function in class:CvDTree
[all...] |
| /packages/inputmethods/OpenWnn/src/jp/co/omronsoft/openwnn/EN/ |
| OpenWnnEngineEN.java | 251 /** @see jp.co.omronsoft.openwnn.WnnEngine#predict */
252 public int predict(ComposingText text, int minLen, int maxLen) { method in class:OpenWnnEngineEN
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| /packages/inputmethods/OpenWnn/src/jp/co/omronsoft/openwnn/JAJP/ |
| OpenWnnEngineJAJP.java | 374 /** @see jp.co.omronsoft.openwnn.WnnEngine#predict */
375 public int predict(ComposingText text, int minLen, int maxLen) { method in class:OpenWnnEngineJAJP
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