| /external/antlr/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/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/runtime/Perl5/lib/ANTLR/Runtime/ |
| DFA.pm | 60 # From the input stream, predict what alternative will succeed
64 sub predict { subroutine
|
| /external/antlr/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/runtime/Python3/antlr3/ |
| dfa.py | 64 def predict(self, input): member in class:DFA
66 From the input stream, predict what alternative will succeed
|
| /external/antlr/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/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:__anon29681::IDCTTest
60 predict->Set(0);
63 ASM_REGISTER_STATE_CHECK(UUT(input->TopLeftPixel(), predict->TopLeftPixel(),
64 predict->stride(), output->TopLeftPixel(),
78 predict->Set(0);
81 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
|
| /external/tensorflow/tensorflow/python/keras/wrappers/ |
| scikit_learn.py | 44 will then be used to fit/predict. One of the following
58 `sk_params` could also accept parameters for calling `fit`, `predict`,
63 `fit`, `predict`, `predict_proba`, and `score` methods
66 `fit`, `predict`, `predict_proba` and `score` methods
89 Sequential.fit, Sequential.predict, Sequential.predict_classes,
225 def predict(self, x, **kwargs): member in class:KerasClassifier
318 def predict(self, x, **kwargs): member in class:KerasRegressor
326 Legal arguments are the arguments of `Sequential.predict`.
332 kwargs = self.filter_sk_params(Sequential.predict, kwargs)
333 return np.squeeze(self.model.predict(x, **kwargs)
[all...] |
| /external/antlr/tool/src/test/java/org/antlr/test/ |
| TestDFAMatching.java | 101 assertEquals(dfa.predict(stream), expected);
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn.py | 398 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNClassifier
409 outputs: list of `str`, name of the output to predict.
428 return super(DNNClassifier, self).predict(
458 preds = super(DNNClassifier, self).predict(
493 preds = super(DNNClassifier, self).predict(
714 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNRegressor
725 outputs: list of `str`, name of the output to predict.
744 return super(DNNRegressor, self).predict(
774 preds = super(DNNRegressor, self).predict(
[all...] |
| dnn_linear_combined.py | 720 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNLinearCombinedClassifier
731 outputs: list of `str`, name of the output to predict.
1074 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:DNNLinearCombinedRegressor
[all...] |
| linear.py | 510 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:LinearClassifier
521 outputs: list of `str`, name of the output to predict.
540 return super(LinearClassifier, self).predict(
569 preds = super(LinearClassifier, self).predict(
600 preds = super(LinearClassifier, self).predict(
643 Train a linear regression model to predict label value given observation of
664 estimator.predict(x=x)
781 def predict(self, x=None, input_fn=None, batch_size=None, outputs=None, member in class:LinearRegressor
792 outputs: list of `str`, name of the output to predict.
811 return super(LinearRegressor, self).predict(
[all...] |
| estimator.py | 86 'The default behavior of predict() is changing. The default value for\n'
625 def predict(self, member in class:BaseEstimator
641 outputs: list of `str`, name of the output to predict.
662 return SKCompat(self).predict(x, batch_size)
1551 def predict(self, x, batch_size=128, outputs=None): member in class:SKCompat
[all...] |
| /external/pdfium/third_party/libtiff/ |
| tif_zip.c | 71 TIFFPredictorState predict; member in struct:__anon35352
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| state_management_test.py | 61 def predict(self, *args): member in class:StubTimeSeriesModel
254 def predict(self, *args): member in class:_StateOverrideModel
|
| ar_model.py | 65 output_window_size: Number of future time steps to predict. Note that
147 output_window_size: Number of future time steps to predict. Note that
253 output_window_size: Number of future time steps to predict. Note that
488 def predict(self, features): member in class:ARModel
493 PredictionFeatures.TIMES: A [batch size, predict window size]
505 values are Tensors of shape [batch_size, predict window size,
570 """Predict self.output_window_size values."""
622 # using 0 for cases where we don't want to predict covariance.
[all...] |
| model.py | 95 # and predict()
105 For distributions over future observations, see predict().
195 see predict().
234 def predict(self, features): member in class:TimeSeriesModel
649 def predict(self, features): member in class:SequentialTimeSeriesModel
650 """Calls self._prediction_step in a loop. See TimeSeriesModel.predict."""
[all...] |
| /external/antlr/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 | 541 def predict(self, mode): member in class:GradientBoostedDecisionTreeModel
545 mode: Mode the graph is running in (train|predict|eval).
554 # Use the current ensemble to predict on the current batch of input.
[all...] |
| /external/tensorflow/tensorflow/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/lite/models/smartreply/ops/ |
| predict.cc | 41 namespace predict { namespace in namespace:tflite::ops::custom
165 } // namespace predict
168 static TfLiteRegistration r = {predict::Init, predict::Free, predict::Prepare,
169 predict::Eval};
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/regression/ |
| SimpleRegression.java | 260 * <code> predict(x) = intercept + slope * x </code></p>
272 public double predict(double x) { method in class:SimpleRegression
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| training.py | 124 # predict on a model without compiling it.
441 # Functions for train, test and predict will
1053 def predict(self, member in class:Model
[all...] |
