/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
trainable.py | 30 def fit(self, member in class:Trainable 62 'steps' works incrementally. If you call two times fit(steps=10) then 73 Two calls to `fit(steps=100)` means 200 training 74 iterations. On the other hand, two calls to `fit(max_steps=100)` means
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experiment_test.py | 114 tf_logging.info('fit called with args: %s' % kwargs) 147 def fit(self, **kwargs): member in class:TestEstimator 148 _check_method_supports_args(trainable.Trainable.fit, kwargs) [all...] |
learn_runner_test.py | 76 def fit(self, x=None, y=None, input_fn=None, steps=None, batch_size=None, member in class:TestExperiment.__init__.Estimator
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/external/tensorflow/tensorflow/contrib/learn/python/learn/preprocessing/ |
categorical.py | 63 def fit(self, x, unused_y=None): member in class:CategoricalProcessor 68 unused_y: to match fit format signature of estimators. 106 self.fit(x) 112 Converts categories to ids give fitted vocabulary from `fit` or
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text.py | 60 def fit(self, x): member in class:ByteProcessor 140 def fit(self, raw_documents, unused_y=None): member in class:VocabularyProcessor 145 unused_y: to match fit format signature of estimators. 168 self.fit(raw_documents) 174 Convert words to ids with vocabulary fitted with fit or the one
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
GaussianFitter.java | 45 * GaussianFunction fitFunction = fitter.fit(); 94 * @throws FunctionEvaluationException if <code>CurveFitter.fit</code> throws it 95 * @throws OptimizationException if <code>CurveFitter.fit</code> throws it 96 * @throws IllegalArgumentException if <code>CurveFitter.fit</code> throws it 100 public GaussianFunction fit() throws FunctionEvaluationException, OptimizationException { method in class:GaussianFitter 101 return new GaussianFunction(fitter.fit(new ParametricGaussianFunction(),
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CurveFitter.java | 74 * @param weight weight of the observed point in the fit 113 /** Fit a curve. 115 * fit the sample of observed points previously given through calls 118 * @param f parametric function to fit 125 public double[] fit(final ParametricRealFunction f, method in class:CurveFitter 139 // perform the fit 152 /** Function to fit. */ 156 * @param f function to fit.
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PolynomialFitter.java | 53 * @param weight weight of the observed point in the fit 74 public PolynomialFunction fit() throws OptimizationException { method in class:PolynomialFitter 76 return new PolynomialFunction(fitter.fit(new ParametricPolynomial(), new double[degree + 1]));
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HarmonicFitter.java | 65 * @param weight weight of the observed point in the fit 74 /** Fit an harmonic function to the observed points. 79 public HarmonicFunction fit() throws OptimizationException { method in class:HarmonicFitter 100 double[] fitted = fitter.fit(new ParametricHarmonicFunction(), parameters);
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/external/skqp/src/gpu/ |
GrYUVProvider.cpp | 82 SkBackingFit fit = local 89 fit,
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GrSoftwarePathRenderer.cpp | 170 static sk_sp<GrTextureProxy> make_deferred_mask_texture_proxy(GrContext* context, SkBackingFit fit, 182 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes, 320 SkBackingFit fit = useCache ? SkBackingFit::kExact : SkBackingFit::kApprox; local 325 proxy = make_deferred_mask_texture_proxy(args.fContext, fit, 356 proxy = helper.toTextureProxy(args.fContext, fit);
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/external/tensorflow/tensorflow/contrib/eager/python/examples/linear_regression/ |
linear_regression.py | 17 This example shows how to use TensorFlow Eager Execution to fit a simple linear 45 The `fit()` performs gradient-descent training on the model's weights 70 def fit(model, dataset, optimizer, verbose=False, logdir=None): function 71 """Fit the linear-regression model. 74 model: The LinearModel to fit. 150 fit(model, dataset, optimizer, verbose=True, logdir=FLAGS.logdir)
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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, 133 def fit(self, x, y, **kwargs): member in class:BaseWrapper 134 """Constructs a new model with `build_fn` & fit the model to `(x, y)`. 143 Legal arguments are the arguments of `Sequential.fit` 164 fit_args = copy.deepcopy(self.filter_sk_params(Sequential.fit)) 167 history = self.model.fit(x, y, **fit_args 196 def fit(self, x, y, **kwargs): member in class:KerasClassifier [all...] |
/external/skia/src/gpu/ |
GrYUVProvider.cpp | 88 SkBackingFit fit = local 109 1, SkBudgeted::kYes, fit);
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GrSoftwarePathRenderer.cpp | 170 static sk_sp<GrTextureProxy> make_deferred_mask_texture_proxy(GrContext* context, SkBackingFit fit, 182 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes, 322 SkBackingFit fit = useCache ? SkBackingFit::kExact : SkBackingFit::kApprox; local 327 proxy = make_deferred_mask_texture_proxy(args.fContext, fit, 358 proxy = helper.toTextureProxy(args.fContext, fit);
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/external/protobuf/php/ext/google/protobuf/ |
storage.c | 344 upb_oneof_iter fit; local 352 for (upb_oneof_begin(&fit, oneof); !upb_oneof_done(&fit); 353 upb_oneof_next(&fit)) { 354 const upb_fielddef* field = upb_oneof_iter_field(&fit); 364 upb_oneof_iter fit; local 370 for (upb_oneof_begin(&fit, oneof); !upb_oneof_done(&fit); 371 upb_oneof_next(&fit)) { 372 const upb_fielddef* field = upb_oneof_iter_field(&fit); [all...] |
/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/ |
training.py | 1916 def fit(self, member in class:Model [all...] |
/external/tensorflow/tensorflow/python/keras/_impl/keras/preprocessing/ |
image.py | 645 'been fit on any training data. Fit it ' 646 'first by calling `.fit(numpy_data)`.') 653 'been fit on any training data. Fit it ' 654 'first by calling `.fit(numpy_data)`.') 663 'been fit on any training data. Fit it ' 664 'first by calling `.fit(numpy_data)`.') 767 def fit(self, x, augment=False, rounds=1, seed=None) member in class:ImageDataGenerator [all...] |
/packages/apps/Gallery2/src/com/android/gallery3d/filtershow/tools/ |
MatrixFit.java | 22 // Simple implementation of a matrix fit in N dimensions. 32 mValid = fit(from, to); 47 public boolean fit(double[][] from, double[][] to) { method in class:MatrixFit
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/external/freetype/src/pshinter/ |
pshglob.h | 68 FT_Pos fit; member in struct:PSH_WidthRec_
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/external/skia/tests/ |
DetermineDomainModeTest.cpp | 119 SkBackingFit fit = isExact ? SkBackingFit::kExact : SkBackingFit::kApprox; local 137 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes);
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/external/skqp/tests/ |
DetermineDomainModeTest.cpp | 119 SkBackingFit fit = isExact ? SkBackingFit::kExact : SkBackingFit::kApprox; local 137 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes);
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
estimator.py | 462 def fit(self, member in class:BaseEstimator 481 SKCompat(self).fit(x, y, batch_size, steps, max_steps, monitors) 510 """Incremental fit on a batch of samples. 517 fit in memory at the same time. Or when model is taking long time 544 ' for use in a loop. Consider using fit() instead.') 545 return self.fit( 787 This function requires `fit()` has been called. 797 because `fit()` has not been called). 800 raise ValueError('Features information missing, was fit() ever called?') 1466 def fit(self, x, y, batch_size=128, steps=None, max_steps=None, member in class:SKCompat [all...] |
/external/tensorflow/tensorflow/python/keras/_impl/keras/ |
models.py | 779 def fit(self, member in class:Sequential 885 return self.model.fit( [all...] |
/external/protobuf/ruby/ext/google/protobuf_c/ |
storage.c | 452 upb_oneof_iter fit; local 460 for (upb_oneof_begin(&fit, oneof); 461 !upb_oneof_done(&fit); 462 upb_oneof_next(&fit)) { 463 const upb_fielddef* field = upb_oneof_iter_field(&fit); 474 upb_oneof_iter fit; local 480 for (upb_oneof_begin(&fit, oneof); 481 !upb_oneof_done(&fit); 482 upb_oneof_next(&fit)) { 483 const upb_fielddef* field = upb_oneof_iter_field(&fit); [all...] |