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Searched
refs:observation
(Results
1 - 9
of
9
) sorted by null
/external/v8/tools/
run-llprof.sh
44
Executes <benchmark_command> under
observation
by the kernel's "perf" \
run-perf.sh
24
Executes <benchmark_command> under
observation
by Linux perf.
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
kalman_filter_test.py
75
observation
= array_ops.placeholder(shape=[1, 2], dtype=dtype)
97
observation
=
observation
,
109
observation
: [[float(i), float(i)]]})
138
"""Compare
observation
mean and noise to hand-computed values."""
162
self, state, state_var,
observation
, observation_model, observation_noise,
170
state, state_var,
observation
,
192
observation
=constant_op.constant([[1.]]),
202
observation
=constant_op.constant([[1.]]),
212
observation
=constant_op.constant([[1., 1.]])
[
all
...]
kalman_filter.py
37
observation
(t) = observation_model * state(t)
53
parameters is a good approach. The state transition and
observation
models are
77
observation
, observation_model, observation_noise):
80
Scores a prediction against an
observation
, and computes the updated
97
observation
: The observed value corresponding to the predictions
98
given [batch size x
observation
dimension]
99
observation_model: The [batch size x
observation
dimension x model state
102
observation_noise: A [batch size x
observation
dimension x
observation
103
dimension] Tensor or [
observation
dimension x observation dimension
[
all
...]
state_space_model.py
87
transition_covariance_initial_log_scale_bias when disabling
observation
88
noise, as its default setting assumes that
observation
noise is part of
96
relatively uninformative priors on state transition and
observation
143
observation
noise covariance matrix, on a log scale (the elements of
146
and may depend on input statistics,
observation
noise covariance is
149
observation
noise, -5 is a reasonable value. Models which do not use
150
observation
noise, and are not part of an ensemble which does use
151
observation
noise, should have this set to 0 or more to avoid
193
And an
observation
model:
195
observation
[t] = ObservationModel * state[t] + ObservationNoise[t
[
all
...]
/external/syzkaller/vendor/golang.org/x/net/internal/timeseries/
timeseries.go
40
Add(other Observable) // Adds the data from a different
observation
to self
41
Clear() // Clears the
observation
so it can be reused.
42
CopyFrom(other Observable) // Copies the contents of a given
observation
to self
168
// Add records an
observation
at the current time.
169
func (ts *timeSeries) Add(
observation
Observable) {
170
ts.AddWithTime(
observation
, ts.clock.Time())
173
// AddWithTime records an
observation
at the specified time.
174
func (ts *timeSeries) AddWithTime(
observation
Observable, t time.Time) {
186
ts.pending.CopyFrom(
observation
)
189
// The
observation
is close enough to go into the pending bucket
[
all
...]
/external/v8/src/compiler/
store-store-elimination.cc
263
UnobservableStore
observation
= {stored_to->id(), offset};
local
264
bool isNotObservable = uses.Contains(
observation
);
285
return uses.Add(
observation
, temp_zone());
/external/grpc-grpc/src/csharp/Grpc.IntegrationTesting/
Histogram.cs
97
/// Finds bucket index to which given
observation
should go.
/external/syzkaller/vendor/golang.org/x/net/trace/
histogram.go
35
// AddMeasurement records a value measurement
observation
to the histogram.
Completed in 385 milliseconds