/external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
D | eval_metrics.py | 46 def _accuracy(predictions, targets, weights=None): argument 51 def _r2(probabilities, targets, weights=None): argument 67 def _sigmoid_entropy(probabilities, targets, weights=None): argument 76 def _softmax_entropy(probabilities, targets, weights=None): argument 87 def _class_log_loss(probabilities, targets, weights=None): argument 95 def _precision(predictions, targets, weights=None): argument 100 def _precision_at_thresholds(predictions, targets, weights=None): argument 108 def _recall(predictions, targets, weights=None): argument 113 def _recall_at_thresholds(predictions, targets, weights=None): argument 121 def _auc(probs, targets, weights=None): argument
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/external/tensorflow/tensorflow/contrib/losses/python/losses/ |
D | loss_ops.py | 44 def _scale_losses(losses, weights): argument 85 def compute_weighted_loss(losses, weights=1.0, scope=None): argument 125 def _num_present(losses, weights, per_batch=False): argument 240 def absolute_difference(predictions, labels=None, weights=1.0, scope=None): argument 279 weights=1.0, argument 330 weights=1.0, argument 380 def sparse_softmax_cross_entropy(logits, labels, weights=1.0, scope=None): argument 415 def log_loss(predictions, labels=None, weights=1.0, epsilon=1e-7, scope=None): argument 487 def mean_squared_error(predictions, labels=None, weights=1.0, scope=None): argument 526 weights=1.0, argument [all …]
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/external/tensorflow/tensorflow/contrib/metrics/python/ops/ |
D | metric_ops.py | 52 weights=None, argument 98 weights=None, argument 144 weights=None, argument 190 weights=None, argument 233 weights=None, argument 283 weights=None, argument 339 weights=None, argument 398 weights=None, argument 456 weights=None, argument 510 weights=None, argument [all …]
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/ |
D | losses.py | 30 def per_example_squared_hinge_loss(labels, weights, predictions): argument 35 def per_example_logistic_loss(labels, weights, predictions): argument 60 def per_example_quantile_regression_loss(labels, weights, predictions, argument 97 def per_example_maxent_loss(labels, weights, logits, num_classes, eps=1e-15): argument 157 def per_example_squared_loss(labels, weights, predictions): argument 175 def per_example_exp_loss(labels, weights, predictions, name=None, eps=0.1): argument 263 def per_example_full_exp_loss(labels, weights, predictions, name=None): argument
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/external/tensorflow/tensorflow/python/ops/losses/ |
D | losses_impl.py | 96 def _num_present(losses, weights, per_batch=False): argument 146 losses, weights=1.0, scope=None, loss_collection=ops.GraphKeys.LOSSES, argument 213 labels, predictions, weights=1.0, scope=None, argument 267 labels, predictions, axis=None, weights=1.0, scope=None, argument 321 def hinge_loss(labels, logits, weights=1.0, scope=None, argument 371 def huber_loss(labels, predictions, weights=1.0, delta=1.0, scope=None, argument 449 def log_loss(labels, predictions, weights=1.0, epsilon=1e-7, scope=None, argument 507 labels, predictions, weights=1.0, scope=None, argument 603 labels, predictions, weights=1.0, scope=None, argument 656 multi_class_labels, logits, weights=1.0, label_smoothing=0, scope=None, argument [all …]
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/external/tensorflow/tensorflow/python/ops/ |
D | metrics_impl.py | 88 def _remove_squeezable_dimensions(predictions, labels, weights): argument 231 def _streaming_confusion_matrix(labels, predictions, num_classes, weights=None): argument 317 weights=None, argument 399 weights=None, argument 464 weights=None, argument 632 weights=None, argument 837 weights=None, argument 899 weights=None, argument 973 weights=None, argument 1078 weights=None, argument [all …]
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D | weights_broadcast_ops.py | 63 def assert_broadcastable(weights, values): argument 136 def broadcast_weights(weights, values): argument
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D | confusion_matrix.py | 97 weights=None, argument 209 weights=None): argument
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/external/libtextclassifier/lang_id/common/flatbuffers/ |
D | embedding-network-params-from-flatbuffer.h | 93 const saft_fbs::Matrix *weights = SafeGetLayerWeights(i); in hidden_num_rows() local 98 const saft_fbs::Matrix *weights = SafeGetLayerWeights(i); in hidden_num_cols() local 103 const saft_fbs::Matrix *weights = SafeGetLayerWeights(i); in hidden_weights_quant_type() local 108 const saft_fbs::Matrix *weights = SafeGetLayerWeights(i); in hidden_weights() local 132 const saft_fbs::Matrix *weights = SafeGetSoftmaxWeights(); in softmax_num_rows() local 137 const saft_fbs::Matrix *weights = SafeGetSoftmaxWeights(); in softmax_num_cols() local 142 const saft_fbs::Matrix *weights = SafeGetSoftmaxWeights(); in softmax_weights_quant_type() local 147 const saft_fbs::Matrix *weights = SafeGetSoftmaxWeights(); in softmax_weights() local
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | hdf5_format.py | 277 def preprocess_weights_for_loading(layer, argument 296 def convert_nested_bidirectional(weights): argument 317 def convert_nested_time_distributed(weights): argument 332 def convert_nested_model(weights): argument 467 def _convert_rnn_weights(layer, weights): argument 551 def convert_lstm_weights(weights, from_cudnn=True): argument 588 def convert_gru_weights(weights, from_cudnn=True): argument
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
D | metric_spec_test.py | 35 def _fn0(predictions, labels, weights=None): argument 41 def _fn1(predictions, targets, weights=None): argument 222 def _fn(predictions, labels, weights=None): argument 238 def _fn(labels, predictions, weights=None): argument 254 def _fn(predictions, labels, weights=None): argument 270 def _fn(predictions, labels, weights=None): argument 286 def _fn(predictions, labels, weights=None): argument 302 def _fn(predictions, labels, weights=None): argument 313 def _metric_fn(labels, predictions, weights=None): argument 328 def custom_metric(predictions, labels, stuff, weights=None): argument [all …]
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D | metric_spec.py | 162 _sentinel=None, labels=None, predictions=None, weights=None): argument 178 _sentinel=None, labels=None, predictions=None, weights=None): argument 191 _sentinel=None, labels=None, predictions=None, weights=None): argument 204 _sentinel=None, labels=None, predictions=None, weights=None): argument 219 _sentinel=None, labels=None, predictions=None, weights=None): argument
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/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | regularizers.py | 62 def l1(weights, name=None): argument 101 def l2(weights): argument 156 def sum_reg(weights): argument
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D | target_column.py | 431 def _run_metrics(predictions, labels, metrics, weights): argument 479 def _float_weights_or_none(weights): argument 485 def _labels_streaming_mean(unused_predictions, labels, weights=None): argument 489 def _predictions_streaming_mean(predictions, unused_labels, weights=None): argument 493 def _streaming_auc(predictions, labels, weights=None): argument 500 def _accuracy_metric(predictions, labels, weights=None): argument 511 def _streaming_metrics(predictions, labels, weights=None): argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
D | WeightedEvaluation.java | 35 double evaluate(double[] values, double[] weights); in evaluate() 47 double evaluate(double[] values, double[] weights, int begin, int length); in evaluate()
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/external/tensorflow/tensorflow/contrib/learn/python/learn/ops/ |
D | losses_ops.py | 37 def mean_squared_error_regressor(tensor_in, labels, weights, biases, name=None): argument 51 weights, argument
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | head.py | 559 def _mean_squared_loss(labels, logits, weights=None): argument 575 def _poisson_loss(labels, logits, weights=None): argument 783 def _metrics(self, eval_loss, predictions, labels, weights): argument 792 def _log_loss_with_two_classes(labels, logits, weights=None): argument 918 def _metrics(self, eval_loss, predictions, labels, weights): argument 964 def _softmax_cross_entropy_loss(labels, logits, weights=None): argument 1113 def _wrapped_loss_fn(self, labels, logits, weights=None): argument 1142 def _metrics(self, eval_loss, predictions, labels, weights): argument 1234 def _loss_fn(labels, logits, weights=None): argument 1305 def _metrics(self, eval_loss, predictions, labels, weights): argument [all …]
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/external/tensorflow/tensorflow/contrib/nn/python/ops/ |
D | sampling_ops.py | 31 def _rank_resample(weights, biases, inputs, sampled_values, num_resampled, argument 110 def rank_sampled_softmax_loss(weights, argument 247 def sampled_sparse_softmax_loss(weights, argument
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/external/tensorflow/tensorflow/contrib/metrics/python/metrics/ |
D | classification.py | 32 def accuracy(predictions, labels, weights=None, name=None): argument 70 def f1_score(labels, predictions, weights=None, num_thresholds=200, argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/ |
D | LeastSquaresConverter.java | 67 private final double[] weights; field in LeastSquaresConverter 113 final double[] observations, final double[] weights) in LeastSquaresConverter()
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/external/freetype/src/base/ |
D | ftlcdfil.c | 81 FT_LcdFiveTapFilter weights ) in ft_lcd_filter_fir() 187 FT_Byte* weights ) in _ft_lcd_filter_legacy() 292 unsigned char *weights ) in FT_Library_SetLcdFilterWeights() 398 unsigned char *weights ) in FT_Library_SetLcdFilterWeights()
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/external/tensorflow/tensorflow/contrib/eager/python/ |
D | metrics_impl.py | 313 def call(self, values, weights=None): argument 376 def call(self, labels, predictions, weights=None): argument 421 def call(self, labels, predictions, weights=None): argument 474 def call(self, labels, predictions, weights=None): argument 520 def call(self, labels, predictions, weights=None): argument
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/external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
D | losses_impl.py | 80 weights=1.0, argument 250 weights=1.0, argument 313 weights=1.0, argument 475 weights=1.0, argument 571 weights=1.0, argument 622 weights=1.0, argument 772 weights=1.0, argument
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/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
D | Variance.java | 302 public double evaluate(final double[] values, final double[] weights, in evaluate() 358 public double evaluate(final double[] values, final double[] weights) { in evaluate() 490 public double evaluate(final double[] values, final double[] weights, in evaluate() 564 public double evaluate(final double[] values, final double[] weights, final double mean) { in evaluate()
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
D | grow_stats_test.cc | 78 std::vector<float> weights = {2.3, 20.3, 1.1}; in TEST() local 121 std::vector<float> weights = {2.3, 20.3, 1.1}; in TEST() local 177 std::vector<float> weights = {1, 1, 1}; in TEST() local 223 std::vector<float> weights = {1, 1}; in TEST() local 331 std::vector<float> weights = {2.3, 20.3, 1.1}; in TEST() local 400 std::vector<float> weights = {2.3, 20.3, 1.1}; in TEST() local
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