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full:boosted
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/external/tensorflow/tensorflow/contrib/boosted_trees/
README.md
1
# TF
Boosted
Trees (TFBT)
3
TF
Boosted
trees is an implementation of a gradient boosting algorithm with
__init__.py
15
"""Gradient
boosted
trees implementation in tensorflow."""
/external/tensorflow/tensorflow/contrib/eager/python/examples/
BUILD
1
# TensorFlow code for training gradient
boosted
trees.
/external/tensorflow/tensorflow/contrib/boosted_trees/examples/
binary_mnist.py
15
r"""Demonstrates multiclass MNIST TF
Boosted
trees example.
17
This example demonstrates how to run experiments with TF
Boosted
Trees on
74
# Main config - creates a TF
Boosted
Trees Estimator based on flags.
76
"""Configures TF
Boosted
Trees estimator based on flags."""
88
# Create a TF
Boosted
trees estimator that can take in custom loss.
100
"""Creates experiment for gradient
boosted
decision trees."""
145
# Flags for gradient
boosted
trees config.
mnist.py
15
r"""Demonstrates multiclass MNIST TF
Boosted
trees example.
17
This example demonstrates how to run experiments with TF
Boosted
Trees on
69
# Main config - creates a TF
Boosted
Trees Estimator based on flags.
71
"""Configures TF
Boosted
Trees estimator based on flags."""
89
# Create a TF
Boosted
trees estimator that can take in custom loss.
102
"""Creates experiment for gradient
boosted
decision trees."""
147
# Flags for gradient
boosted
trees config.
boston.py
17
This example demonstrates how to run experiments with TF
Boosted
Trees on
52
# Main config - creates a TF
Boosted
Trees Estimator based on flags.
54
"""Configures TF
Boosted
Trees estimator based on flags."""
63
# Create a TF
Boosted
trees regression estimator.
87
"""Creates experiment for gradient
boosted
decision trees."""
150
# Flags for gradient
boosted
trees config.
/external/skia/include/effects/
SkAlphaThresholdFilter.h
19
* region the alpha of the image is
boosted
up to a threshold value. If it is
/external/skqp/include/effects/
SkAlphaThresholdFilter.h
19
* region the alpha of the image is
boosted
up to a threshold value. If it is
/external/lisa/tests/stune/
smoke_test_ramp.py
34
Verify that a task in a SchedTune cgroup is
boosted
65
"""Tasks in stune groups are
boosted
"""
99
error_msg = "task was not
boosted
to the expected margin: {:.2f}"\
/external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/
__init__.py
15
"""Gradient
boosted
trees implementation in tensorflow."""
estimator.py
29
"""An estimator using gradient
boosted
decision trees."""
108
"""An estimator using gradient
boosted
decision trees."""
175
"""An estimator using gradient
boosted
decision trees.
BUILD
2
# gradient
boosted
trees on top of TensorFlow.
dnn_tree_combined_estimator.py
17
The combined model trains a DNN first, then trains
boosted
trees to boost the
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over sparse features) can optionally be provided to the
boosted
trees as
105
used by the model's
boosted
trees. If dnn_input_layer_to_tree is
321
used by the model's
boosted
trees. If dnn_input_layer_to_tree is
410
used by the model's
boosted
trees. If dnn_input_layer_to_tree is
499
used by the model's
boosted
trees. If dnn_input_layer_to_tree is
/external/tensorflow/tensorflow/contrib/boosted_trees/python/
__init__.py
15
"""Gradient
boosted
trees implementation in tensorflow."""
/external/tensorflow/tensorflow/contrib/boosted_trees/python/ops/
training_ops.py
15
"""Import and conditionally load custom ops for training
boosted
trees."""
/external/libffi/
ChangeLog.v1
12
* configure.in:
Boosted
rev.
14
* README:
Boosted
rev and updated release notes.
18
* configure.in:
Boosted
rev.
20
* README:
Boosted
rev and updated release notes.
35
* configure.in:
Boosted
rev.
37
* README:
Boosted
rev and added release notes.
77
* README:
Boosted
rev to 1.14. Added notes.
97
(VERSION):
Boosted
rev to 1.13.
102
* configure.in (VERSION):
Boosted
rev to 1.12.
106
* README:
Boosted
rev to 1.12. Added notes
[
all
...]
/external/python/cpython2/Modules/_ctypes/libffi/
ChangeLog.v1
12
* configure.in:
Boosted
rev.
14
* README:
Boosted
rev and updated release notes.
18
* configure.in:
Boosted
rev.
20
* README:
Boosted
rev and updated release notes.
35
* configure.in:
Boosted
rev.
37
* README:
Boosted
rev and added release notes.
77
* README:
Boosted
rev to 1.14. Added notes.
97
(VERSION):
Boosted
rev to 1.13.
102
* configure.in (VERSION):
Boosted
rev to 1.12.
106
* README:
Boosted
rev to 1.12. Added notes
[
all
...]
/external/python/cpython3/Modules/_ctypes/libffi/
ChangeLog.v1
12
* configure.in:
Boosted
rev.
14
* README:
Boosted
rev and updated release notes.
18
* configure.in:
Boosted
rev.
20
* README:
Boosted
rev and updated release notes.
35
* configure.in:
Boosted
rev.
37
* README:
Boosted
rev and added release notes.
77
* README:
Boosted
rev to 1.14. Added notes.
97
(VERSION):
Boosted
rev to 1.13.
102
* configure.in (VERSION):
Boosted
rev to 1.12.
106
* README:
Boosted
rev to 1.12. Added notes
[
all
...]
/external/tensorflow/tensorflow/docs_src/about/
roadmap.md
18
* Easy-to-use high-level pre-made estimators for Gradient
Boosted
Trees, Time Series, and other models
/packages/inputmethods/LatinIME/native/jni/src/suggest/policyimpl/typing/
typing_scoring.h
73
// By doing this, when the user types "mt", the word "Mt" will NOT be
boosted
, and
/frameworks/base/services/core/java/com/android/server/os/
SchedulingPolicyService.java
61
// catch this case. We can't leave media.codec in
boosted
state, because we've
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// (Note that if mediaserver thinks we're in
boosted
state before the crash,
/external/ltp/testcases/open_posix_testsuite/conformance/interfaces/sched_setparam/
9-1.c
87
* should run only after parent
boosted
its priority.
/external/swiftshader/third_party/LLVM/include/llvm/Support/
type_traits.h
12
// a zero argument to a function was "
boosted
" from the boost type_traits
/external/tensorflow/tensorflow/contrib/decision_trees/proto/
generic_tree_model.proto
42
//
boosted
models, as well as custom ensembles.
/external/libvpx/libvpx/vp9/encoder/
vp9_ratectrl.h
85
int last_boosted_qindex; // Last
boosted
GF/KF/ARF q
Completed in 3224 milliseconds
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