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Searched
refs:example_weight
(Results
1 - 8
of
8
) sorted by null
/external/tensorflow/tensorflow/core/kernels/
loss.h
31
const double
example_weight
, const double current_dual, const double wx,
38
const double
example_weight
) const = 0;
43
const double
example_weight
) const = 0;
48
const double
example_weight
) const = 0;
hinge-loss.h
43
const double
example_weight
,
53
current_dual + (label - wx) / (num_loss_partitions *
example_weight
*
76
const double
example_weight
) const final {
83
return -y_alpha *
example_weight
;
90
const double
example_weight
) const final {
92
return std::max(0.0, 1 - y_wx) *
example_weight
;
96
const double
example_weight
) const final {
98
return -label *
example_weight
;
squared-loss.h
33
const double
example_weight
,
38
1 + num_loss_partitions * weighted_example_norm *
example_weight
;
45
const double
example_weight
) const final {
48
return current_dual * (0.5 * current_dual - example_label) *
example_weight
;
53
const double
example_weight
) const final {
55
return error * error *
example_weight
* 0.5;
59
const double
example_weight
) const final {
60
return (wx - label) *
example_weight
;
logistic-loss.h
32
const double
example_weight
,
40
x = NewtonStep(x, num_loss_partitions, label, wx,
example_weight
,
49
const double
example_weight
) const final {
56
return ((ay * log_ay) + (one_minus_ay * log_one_minus_ay)) *
example_weight
;
62
const double
example_weight
) const final {
72
return log(1 + exp(-y_wx)) *
example_weight
;
77
return (log(1 + exp(y_wx)) - y_wx) *
example_weight
;
82
const double
example_weight
) const final {
89
return inverse_exp_term * label *
example_weight
;
117
const double
example_weight
,
[
all
...]
smooth-hinge-loss.h
34
const double
example_weight
,
46
(num_partitions *
example_weight
* weighted_example_norm + gamma);
57
const double
example_weight
) const final {
65
example_weight
;
69
const double
example_weight
) const final {
72
if (y_wx <= 1 - gamma) return (1 - y_wx - gamma / 2) *
example_weight
;
73
return (1 - y_wx) * (1 - y_wx) *
example_weight
* 0.5 / gamma;
93
const double
example_weight
) const final {
sdca_ops.cc
169
const float
example_weight
= example.
example_weight
();
190
options.num_loss_partitions, example_label,
example_weight
, dual,
195
(new_dual - dual) *
example_weight
/
205
example_statistics.prev_wx[0], example_label,
example_weight
);
208
example_weight
);
209
example_state_data(example_index, 3) =
example_weight
;
sdca_internal.cc
243
const double
example_weight
= example.
example_weight
();
local
252
example_statistics.wx[0], label,
example_weight
);
253
probabilities_[example_id] =
example_weight
*
sdca_internal.h
142
float
example_weight
() const { return example_weight_; }
function in class:tensorflow::sdca::Example
Completed in 102 milliseconds