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Speechresearch/classifiers
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Class Hierarchy
classifiers.g_kmeans.cluster_descriptor
object
:
The most base type
classifiers.data_splitter.bluedata
:
This is an extension of
gmisclib.blue_data_selector.bluedata
which is aware of the classids of data.
classifiers.data_splitter.bluedata_groups
g_classifiers.q_classifier_r.classifier
:
This is the base class for all kinds of classifers.
classifiers.qd_classifier_guts.qd_classifier
classifiers.q_classifier_r.classifier
:
This is the base class for all kinds of classifers.
classifiers.l_classifier_guts.l_classifier
:
This is a linear discriminant classifier.
g_classifiers.q_classifier_r.classifier_desc
:
This is a thing that describes and generates
classifier
s.
classifiers.qd_classifier_guts.qd_classifier_desc
classifiers.q_classifier_r.classifier_desc
:
This is a thing that describes and generates
classifier
s.
classifiers.l_classifier_guts.l_classifier_desc
:
This class is metadata and helper functions for a linear discriminant classifier.
classifiers.q_classifier_r.datum_c
:
This is an unclassified datum, either in the test or training set.
classifiers.q_classifier_r.datum_tr
:
This is a datum where we know the true class, presumably in the training set.
classifiers.q_classifier_r.evaluate_match_w_rare
:
This is called in the same way as
evaluate_match
or
evaluate_Bayes
.
classifiers.q_classifier_r.grouper_c
:
A 'grouper' function takes a DUID (a unique i.d.
classifiers.q_classifier_r.model_template
:
This class describes how to compute the relative probability that a datum is a member of a particular class.
classifiers.q_classifier_r.lmodel
classifiers.q_classifier_r.qmodel
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Speechresearch/classifiers
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