/external/antlr/antlr-3.4/runtime/ActionScript/project/src/org/antlr/runtime/ |
DFA.as | 56 /** From the input stream, predict what alternative will succeed 61 public function predict(input:IntStream):int { function 63 trace("Enter DFA.predict for decision "+decisionNumber); 91 if ( debug ) trace("accept; predict "+accept[s]+" from state "+s); 128 if ( debug ) trace("accept via EOF; predict "+accept[eof[s]]+" from "+eof[s]);
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/external/antlr/antlr-3.4/runtime/JavaScript/src/org/antlr/runtime/ |
DFA.js | 15 /** From the input stream, predict what alternative will succeed 20 predict: function(input) { 14 org.antlr.runtime.DFA.prototype = { method in class:org.antlr.runtime.DFA
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/external/antlr/antlr-3.4/runtime/Perl5/lib/ANTLR/Runtime/ |
DFA.pm | 60 # From the input stream, predict what alternative will succeed 64 sub predict { subroutine
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/external/antlr/antlr-3.4/runtime/Python/antlr3/ |
dfa.py | 64 def predict(self, input): member in class:DFA 66 From the input stream, predict what alternative will succeed
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/external/antlr/antlr-3.4/runtime/Ruby/lib/antlr3/ |
dfa.rb | 95 For more information on the prediction algorithm, check out the #predict method 171 def predict( input ) method in class:ANTLR3 237 def predict( input ) method in class:ANTLR3
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/external/antlr/antlr-3.4/runtime/C/include/ |
antlr3cyclicdfa.h | 75 ANTLR3_INT32 (*predict) (void * ctx, pANTLR3_BASE_RECOGNIZER recognizer, pANTLR3_INT_STREAM is, struct ANTLR3_CYCLIC_DFA_struct * dfa); member in struct:ANTLR3_CYCLIC_DFA_struct
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/external/libvpx/libvpx/test/ |
idct_test.cc | 36 predict = new Buffer<uint8_t>(4, 4, 3); 37 ASSERT_TRUE(predict != NULL); 38 ASSERT_TRUE(predict->Init()); 46 delete predict; 53 Buffer<uint8_t> *predict; member in class:__anon26026::IDCTTest 60 predict->Set(0); 63 ASM_REGISTER_STATE_CHECK(UUT(input->TopLeftPixel(), predict->TopLeftPixel(), 64 predict->stride(), output->TopLeftPixel(), 77 predict->Set(0); 80 ASM_REGISTER_STATE_CHECK(UUT(input->TopLeftPixel(), predict->TopLeftPixel() [all...] |
/external/libvpx/libvpx/vp9/common/ |
vp9_scale.h | 34 convolve_fn_t predict[2][2][2]; // horiz, vert, avg member in struct:scale_factors
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/external/tensorflow/tensorflow/python/keras/_impl/keras/wrappers/ |
scikit_learn.py | 43 will then be used to fit/predict. One of the following 57 `sk_params` could also accept parameters for calling `fit`, `predict`, 62 `fit`, `predict`, `predict_proba`, and `score` methods 65 `fit`, `predict`, `predict_proba` and `score` methods 88 Sequential.fit, Sequential.predict, Sequential.predict_classes, 226 def predict(self, x, **kwargs): member in class:KerasClassifier 319 def predict(self, x, **kwargs): member in class:KerasRegressor 327 Legal arguments are the arguments of `Sequential.predict`. 333 kwargs = self.filter_sk_params(Sequential.predict, kwargs) 334 return np.squeeze(self.model.predict(x, **kwargs) [all...] |
/external/antlr/antlr-3.4/tool/src/test/java/org/antlr/test/ |
TestDFAMatching.java | 99 assertEquals(dfa.predict(stream), expected);
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
dnn.py | 389 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNClassifier 400 outputs: list of `str`, name of the output to predict. 419 return super(DNNClassifier, self).predict( 449 preds = super(DNNClassifier, self).predict( 484 preds = super(DNNClassifier, self).predict( 701 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNRegressor 712 outputs: list of `str`, name of the output to predict. 731 return super(DNNRegressor, self).predict( 761 preds = super(DNNRegressor, self).predict( [all...] |
dnn_linear_combined.py | 707 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNLinearCombinedClassifier 718 outputs: list of `str`, name of the output to predict. 737 return super(DNNLinearCombinedClassifier, self).predict( 1057 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNLinearCombinedRegressor [all...] |
linear.py | 499 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:LinearClassifier 510 outputs: list of `str`, name of the output to predict. 529 return super(LinearClassifier, self).predict( 558 preds = super(LinearClassifier, self).predict( 589 preds = super(LinearClassifier, self).predict( 628 Train a linear regression model to predict label value given observation of 649 estimator.predict(x=x) 766 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:LinearRegressor 777 outputs: list of `str`, name of the output to predict. 796 return super(LinearRegressor, self).predict( [all...] |
/frameworks/opt/net/wifi/service/java/com/android/server/wifi/util/ |
KalmanFilter.java | 36 public void predict() { method in class:KalmanFilter
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/external/pdfium/third_party/libtiff/ |
tif_zip.c | 71 TIFFPredictorState predict; member in struct:__anon31515
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
ar_model.py | 72 output_window_size: Number of future time steps to predict. Note that 232 def predict(self, features): member in class:ARModel 237 PredictionFeatures.TIMES: A [batch size, predict window size] 248 values are Tensors of shape [batch_size, predict window size, 292 """Predict self.output_window_size values.""" 329 # using 0 for cases where we don't want to predict covariance. 487 # Note that, unlike the ARModel's predict() while_loop and the
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state_management_test.py | 61 def predict(self, *args): member in class:StubTimeSeriesModel 254 def predict(self, *args): member in class:_StateOverrideModel
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model.py | 94 # and predict() 104 For distributions over future observations, see predict(). 194 see predict(). 233 def predict(self, features): member in class:TimeSeriesModel 645 def predict(self, features): member in class:SequentialTimeSeriesModel 646 """Calls self._prediction_step in a loop. See TimeSeriesModel.predict.""" [all...] |
/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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/external/antlr/antlr-3.4/runtime/Java/src/main/java/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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/external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
gbdt_batch.py | 400 def predict(self, mode): member in class:GradientBoostedDecisionTreeModel 404 mode: Mode the graph is running in (train|predict|eval). 413 # Use the current ensemble to predict on the current batch of input. [all...] |
/external/tensorflow/tensorflow/contrib/lite/models/smartreply/demo/app/src/main/java/com/example/android/smartreply/ |
SmartReplyClient.java | 71 public synchronized SmartReply[] predict(String[] input) { method in class:SmartReplyClient
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/external/tensorflow/tensorflow/contrib/lite/models/smartreply/ops/ |
predict.cc | 40 namespace predict { namespace in namespace:tflite::ops::custom 164 } // namespace predict 167 static TfLiteRegistration r = {predict::Init, predict::Free, predict::Prepare, 168 predict::Eval};
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
training.py | 2247 def predict(self, x, batch_size=None, verbose=0, steps=None): member in class:Model [all...] |
/frameworks/base/core/java/android/service/resolver/ |
ResolverRankerService.java | 148 public void predict(final List<ResolverTarget> targets, final IResolverRankerResult result) method in class:ResolverRankerService.ResolverRankerServiceWrapper 155 Log.d(TAG, "predict calls onPredictSharingProbabilities.");
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