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  /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]);
  /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
  /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
  /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
  /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
  /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
  /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()
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  /external/libvpx/libvpx/vp9/common/
vp9_scale.h 34 convolve_fn_t predict[2][2][2]; // horiz, vert, avg member in struct:scale_factors
  /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)
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  /external/antlr/antlr-3.4/tool/src/test/java/org/antlr/test/
TestDFAMatching.java 99 assertEquals(dfa.predict(stream), expected);
  /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(
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  /frameworks/opt/net/wifi/service/java/com/android/server/wifi/util/
KalmanFilter.java 36 public void predict() { method in class:KalmanFilter
  /external/pdfium/third_party/libtiff/
tif_zip.c 71 TIFFPredictorState predict; member in struct:__anon31515
  /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
state_management_test.py 61 def predict(self, *args): member in class:StubTimeSeriesModel
254 def predict(self, *args): member in class:_StateOverrideModel
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."""
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  /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
  /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]);
  /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.
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  /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
  /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};
  /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
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  /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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