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Commit e64b7e74 authored by Davis King's avatar Davis King
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updated docs

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docs/docs/ml.xml
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......@@ -97,14 +97,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<sub>
<item>structural_svm_sequence_labeling_problem</item>
<item>structural_svm_object_detection_problem</item>
<item>structural_svm_assignment_problem</item>
</sub>
</item>
<item nolink="true">
<name>Core Tools</name>
<sub>
<item>structural_svm_problem</item>
<item>structural_svm_problem_threaded</item>
<item>svm_struct_controller_node</item>
<item>svm_struct_processing_node</item>
</sub>
</item>
<item>structural_svm_problem</item>
<item>structural_object_detection_trainer</item>
<item>structural_sequence_labeling_trainer</item>
<item>structural_svm_problem_threaded</item>
<item>svm_struct_controller_node</item>
<item>svm_struct_processing_node</item>
<item>structural_assignment_trainer</item>
</section>
<section>
<name>Unsupervised</name>
......@@ -153,11 +160,13 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>cross_validate_multiclass_trainer</item>
<item>cross_validate_regression_trainer</item>
<item>cross_validate_sequence_labeler</item>
<item>cross_validate_assignment_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>
</section>
<section>
......@@ -203,6 +212,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>multiclass_linear_decision_function</item>
<item>one_vs_all_decision_function</item>
<item>sequence_labeler</item>
<item>assignment_function</item>
</section>
<section>
......@@ -220,6 +230,8 @@ 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_assignment_problem</item>
<item>is_forced_assignment_problem</item>
<item>approximate_distance_function</item>
<item>is_learning_problem</item>
<item>select_all_distinct_labels</item>
......@@ -1329,6 +1341,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>assignment_function</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/assignment_function_abstract.h</spec_file>
<description>
This object is a tool for solving the optimal assignment problem given a
user defined method for computing the quality of any particular assignment.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......@@ -1562,6 +1587,32 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>is_assignment_problem</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
<description>
This function takes a set of training data for an assignment problem
and reports back if it could possibly be a well formed assignment problem.
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>is_forced_assignment_problem</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
<description>
This function takes a set of training data for a forced assignment problem
and reports back if it could possibly be a well formed forced assignment problem.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......@@ -2112,6 +2163,20 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>cross_validate_assignment_trainer</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file>
<description>
Performs k-fold cross validation on a user supplied assignment trainer object such
as the <a href="#structural_assignment_trainer">structural_assignment_trainer</a>
and returns the fraction of assignments predicted correctly.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......@@ -2128,6 +2193,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>test_assignment_function</name>
<file>dlib/svm.h</file>
<spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file>
<description>
Tests an <a href="#assignment_function">assignment_function</a> on a set of data
and returns the fraction of assignments predicted correctly.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......@@ -2289,6 +2367,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>structural_svm_assignment_problem</name>
<file>dlib/svm_threaded.h</file>
<spec_file link="true">dlib/svm/structural_svm_assignment_problem_abstract.h</spec_file>
<description>
This object is a tool for learning the weight vector needed to use
an <a href="#assignment_function">assignment_function</a> object.
It learns the parameter vector by
formulating the problem as a <a href="#structural_svm_problem">structural SVM problem</a>.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......@@ -2335,6 +2428,25 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
</component>
<!-- ************************************************************************* -->
<component>
<name>structural_assignment_trainer</name>
<file>dlib/svm_threaded.h</file>
<spec_file link="true">dlib/svm/structural_assignment_trainer_abstract.h</spec_file>
<description>
This object is a tool for learning to solve the assignment problem based
on a set of training data. The training procedure produces an
<a href="#assignment_function">assignment_function</a> object
which can be used to predict the assignments of new data.
Note that this is just a convenience wrapper around the
<a href="#structural_svm_assignment_problem">structural_svm_assignment_problem</a>
to make it look similar to all the other trainers in dlib.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......
docs/docs/term_index.xml
View file @ e64b7e74
......@@ -44,6 +44,14 @@
<term file="ml.html" name="structural_svm_sequence_labeling_problem"/>
<term file="ml.html" name="structural_sequence_labeling_trainer"/>
<term file="ml.html" name="is_forced_assignment_problem"/>
<term file="ml.html" name="is_assignment_problem"/>
<term file="ml.html" name="assignment_function"/>
<term file="ml.html" name="test_assignment_function"/>
<term file="ml.html" name="cross_validate_assignment_trainer"/>
<term file="ml.html" name="structural_svm_assignment_problem"/>
<term file="ml.html" name="structural_assignment_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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