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  /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
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)
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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
  /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
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
  /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(),
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.
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]));
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);
  /external/skqp/src/gpu/
GrYUVProvider.cpp 82 SkBackingFit fit = local
89 fit,
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);
  /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)
  /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
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  /external/skia/src/gpu/
GrYUVProvider.cpp 88 SkBackingFit fit = local
109 1, SkBudgeted::kYes, fit);
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);
  /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);
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  /external/tensorflow/tensorflow/python/keras/_impl/keras/engine/
training.py 1916 def fit(self, member in class:Model
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  /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
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  /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
  /external/freetype/src/pshinter/
pshglob.h 68 FT_Pos fit; member in struct:PSH_WidthRec_
  /external/skia/tests/
DetermineDomainModeTest.cpp 119 SkBackingFit fit = isExact ? SkBackingFit::kExact : SkBackingFit::kApprox; local
137 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes);
  /external/skqp/tests/
DetermineDomainModeTest.cpp 119 SkBackingFit fit = isExact ? SkBackingFit::kExact : SkBackingFit::kApprox; local
137 return proxyProvider->createProxy(desc, fit, SkBudgeted::kYes);
  /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
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  /external/tensorflow/tensorflow/python/keras/_impl/keras/
models.py 779 def fit(self, member in class:Sequential
885 return self.model.fit(
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  /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);
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