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updated docs
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Davis King
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docs/docs/ml.xml
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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"
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<sub>
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<item>structural_svm_sequence_labeling_problem</item>
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<item>structural_svm_object_detection_problem</item>
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<item>structural_svm_assignment_problem</item>
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</sub>
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</item>
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<item nolink="true">
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<name>Core Tools</name>
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<sub>
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<item>structural_svm_problem</item>
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<item>structural_svm_problem_threaded</item>
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<item>svm_struct_controller_node</item>
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<item>svm_struct_processing_node</item>
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</sub>
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</item>
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<item>structural_svm_problem</item>
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<item>structural_object_detection_trainer</item>
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<item>structural_sequence_labeling_trainer</item>
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<item>structural_svm_problem_threaded</item>
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<item>svm_struct_controller_node</item>
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<item>svm_struct_processing_node</item>
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<item>structural_assignment_trainer</item>
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</section>
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<section>
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<name>Unsupervised</name>
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@ -153,11 +160,13 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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<item>cross_validate_multiclass_trainer</item>
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<item>cross_validate_regression_trainer</item>
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<item>cross_validate_sequence_labeler</item>
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<item>cross_validate_assignment_trainer</item>
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<item>test_binary_decision_function</item>
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<item>test_multiclass_decision_function</item>
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<item>test_regression_function</item>
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<item>test_object_detection_function</item>
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<item>test_sequence_labeler</item>
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<item>test_assignment_function</item>
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</section>
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<section>
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@ -203,6 +212,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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<item>multiclass_linear_decision_function</item>
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<item>one_vs_all_decision_function</item>
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<item>sequence_labeler</item>
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<item>assignment_function</item>
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</section>
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<section>
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@ -220,6 +230,8 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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<item>randomize_samples</item>
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<item>is_binary_classification_problem</item>
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<item>is_sequence_labeling_problem</item>
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<item>is_assignment_problem</item>
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<item>is_forced_assignment_problem</item>
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<item>approximate_distance_function</item>
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<item>is_learning_problem</item>
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<item>select_all_distinct_labels</item>
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@ -1329,6 +1341,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>assignment_function</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/assignment_function_abstract.h</spec_file>
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<description>
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This object is a tool for solving the optimal assignment problem given a
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user defined method for computing the quality of any particular assignment.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -1562,6 +1587,32 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>is_assignment_problem</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
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<description>
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This function takes a set of training data for an assignment problem
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and reports back if it could possibly be a well formed assignment problem.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>is_forced_assignment_problem</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/svm_abstract.h</spec_file>
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<description>
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This function takes a set of training data for a forced assignment problem
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and reports back if it could possibly be a well formed forced assignment problem.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -2112,6 +2163,20 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>cross_validate_assignment_trainer</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file>
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<description>
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Performs k-fold cross validation on a user supplied assignment trainer object such
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as the <a href="#structural_assignment_trainer">structural_assignment_trainer</a>
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and returns the fraction of assignments predicted correctly.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -2128,6 +2193,19 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>test_assignment_function</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/cross_validate_assignment_trainer_abstract.h</spec_file>
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<description>
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Tests an <a href="#assignment_function">assignment_function</a> on a set of data
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and returns the fraction of assignments predicted correctly.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -2289,6 +2367,21 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>structural_svm_assignment_problem</name>
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<file>dlib/svm_threaded.h</file>
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<spec_file link="true">dlib/svm/structural_svm_assignment_problem_abstract.h</spec_file>
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<description>
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This object is a tool for learning the weight vector needed to use
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an <a href="#assignment_function">assignment_function</a> object.
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It learns the parameter vector by
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formulating the problem as a <a href="#structural_svm_problem">structural SVM problem</a>.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -2335,6 +2428,25 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>structural_assignment_trainer</name>
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<file>dlib/svm_threaded.h</file>
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<spec_file link="true">dlib/svm/structural_assignment_trainer_abstract.h</spec_file>
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<description>
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This object is a tool for learning to solve the assignment problem based
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on a set of training data. The training procedure produces an
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<a href="#assignment_function">assignment_function</a> object
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which can be used to predict the assignments of new data.
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Note that this is just a convenience wrapper around the
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<a href="#structural_svm_assignment_problem">structural_svm_assignment_problem</a>
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to make it look similar to all the other trainers in dlib.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -44,6 +44,14 @@
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<term file="ml.html" name="structural_svm_sequence_labeling_problem"/>
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<term file="ml.html" name="structural_sequence_labeling_trainer"/>
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<term file="ml.html" name="is_forced_assignment_problem"/>
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<term file="ml.html" name="is_assignment_problem"/>
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<term file="ml.html" name="assignment_function"/>
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<term file="ml.html" name="test_assignment_function"/>
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<term file="ml.html" name="cross_validate_assignment_trainer"/>
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<term file="ml.html" name="structural_svm_assignment_problem"/>
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<term file="ml.html" name="structural_assignment_trainer"/>
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<term file="dlib/optimization/optimization_solve_qp2_using_smo_abstract.h.html" name="invalid_nu_error"/>
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<term file="dlib/optimization/optimization_solve_qp2_using_smo_abstract.h.html" name="maximum_nu"/>
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