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钟尚武
dlib
Commits
f581b5e6
Commit
f581b5e6
authored
May 03, 2012
by
Davis King
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updated docs
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ml.xml
docs/docs/ml.xml
+97
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term_index.xml
docs/docs/term_index.xml
+6
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docs/docs/ml.xml
View file @
f581b5e6
...
...
@@ -99,6 +99,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>
structural_svm_sequence_labeling_problem
</item>
<item>
structural_svm_object_detection_problem
</item>
<item>
structural_svm_assignment_problem
</item>
<item>
structural_svm_graph_labeling_problem
</item>
</sub>
</item>
<item
nolink=
"true"
>
...
...
@@ -113,6 +114,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>
structural_object_detection_trainer
</item>
<item>
structural_sequence_labeling_trainer
</item>
<item>
structural_assignment_trainer
</item>
<item>
structural_graph_labeling_trainer
</item>
</section>
<section>
<name>
Unsupervised
</name>
...
...
@@ -162,12 +164,14 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>
cross_validate_regression_trainer
</item>
<item>
cross_validate_sequence_labeler
</item>
<item>
cross_validate_assignment_trainer
</item>
<item>
cross_validate_graph_labeling_trainer
</item>
<item>
test_binary_decision_function
</item>
<item>
test_multiclass_decision_function
</item>
<item>
test_regression_function
</item>
<item>
test_object_detection_function
</item>
<item>
test_sequence_labeler
</item>
<item>
test_assignment_function
</item>
<item>
test_graph_labeling_function
</item>
</section>
<section>
...
...
@@ -214,6 +218,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>
one_vs_all_decision_function
</item>
<item>
sequence_labeler
</item>
<item>
assignment_function
</item>
<item>
graph_labeler
</item>
</section>
<section>
...
...
@@ -234,6 +239,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>
randomize_samples
</item>
<item>
is_binary_classification_problem
</item>
<item>
is_sequence_labeling_problem
</item>
<item>
is_graph_labeling_problem
</item>
<item>
is_assignment_problem
</item>
<item>
is_forced_assignment_problem
</item>
<item>
approximate_distance_function
</item>
...
...
@@ -1380,6 +1386,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
graph_labeler
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/graph_labeler_abstract.h
</spec_file>
<description>
This object is a tool for labeling each node in a
<a
href=
"containers.html#graph"
>
graph
</a>
with a value of true or false, subject to a labeling consistency constraint between
nodes that share an edge. In particular, this object is useful for
representing a graph labeling model learned via some machine learning
method, such as the
<a
href=
"#structural_graph_labeling_trainer"
>
structural_graph_labeling_trainer
</a>
.
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
@@ -1626,6 +1647,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
is_graph_labeling_problem
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/structural_svm_graph_labeling_problem_abstract.h
</spec_file>
<description>
This function takes a set of training data for a graph labeling problem
and reports back if it could possibly be a well formed problem.
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
@@ -2259,6 +2293,20 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
cross_validate_graph_labeling_trainer
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/cross_validate_graph_labeling_trainer_abstract.h
</spec_file>
<description>
Performs k-fold cross validation on a user supplied graph labeling trainer object such
as the
<a
href=
"#structural_graph_labeling_trainer"
>
structural_graph_labeling_trainer
</a>
and returns the fraction of assignments predicted correctly.
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
@@ -2291,6 +2339,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
test_graph_labeling_function
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/cross_validate_graph_labeling_trainer_abstract.h
</spec_file>
<description>
Tests a
<a
href=
"#graph_labeler"
>
graph_labeler
</a>
on a set of data
and returns the fraction of labels predicted correctly.
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
@@ -2469,6 +2530,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
structural_svm_graph_labeling_problem
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/structural_svm_graph_labeling_problem_abstract.h
</spec_file>
<description>
This object is a tool for learning the weight vectors needed to use
a
<a
href=
"#graph_labeler"
>
graph_labeler
</a>
object.
It learns the parameter vectors by
formulating the problem as a
<a
href=
"#structural_svm_problem"
>
structural SVM problem
</a>
.
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
@@ -2516,6 +2592,27 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>
structural_graph_labeling_trainer
</name>
<file>
dlib/graph_cuts.h
</file>
<spec_file
link=
"true"
>
dlib/svm/structural_graph_labeling_trainer_abstract.h
</spec_file>
<description>
This object is a tool for learning to solve a graph labeling problem based
on a training dataset of example labeled
<a
href=
"containers.html#graph"
>
graphs
</a>
.
The training procedure produces a
<a
href=
"#graph_labeler"
>
graph_labeler
</a>
object
which can be used to predict the labelings of new graphs.
<p>
Note that this is just a convenience wrapper around the
<a
href=
"#structural_svm_graph_labeling_problem"
>
structural_svm_graph_labeling_problem
</a>
to make it look similar to all the other trainers in dlib.
</p>
</description>
</component>
<!-- ************************************************************************* -->
<component>
...
...
docs/docs/term_index.xml
View file @
f581b5e6
...
...
@@ -49,11 +49,17 @@
<term
file=
"ml.html"
name=
"is_forced_assignment_problem"
/>
<term
file=
"ml.html"
name=
"is_assignment_problem"
/>
<term
file=
"ml.html"
name=
"is_graph_labeling_problem"
/>
<term
file=
"ml.html"
name=
"assignment_function"
/>
<term
file=
"ml.html"
name=
"graph_labeler"
/>
<term
file=
"ml.html"
name=
"test_assignment_function"
/>
<term
file=
"ml.html"
name=
"test_graph_labeling_function"
/>
<term
file=
"ml.html"
name=
"cross_validate_assignment_trainer"
/>
<term
file=
"ml.html"
name=
"cross_validate_graph_labeling_trainer"
/>
<term
file=
"ml.html"
name=
"structural_svm_assignment_problem"
/>
<term
file=
"ml.html"
name=
"structural_svm_graph_labeling_problem"
/>
<term
file=
"ml.html"
name=
"structural_assignment_trainer"
/>
<term
file=
"ml.html"
name=
"structural_graph_labeling_trainer"
/>
<term
file=
"dlib/optimization/optimization_solve_qp2_using_smo_abstract.h.html"
name=
"invalid_nu_error"
/>
<term
file=
"dlib/optimization/optimization_solve_qp2_using_smo_abstract.h.html"
name=
"maximum_nu"
/>
...
...
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