mirror of https://github.com/davisking/dlib.git
updated the docs
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<item>reduced2</item>
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<item>batch</item>
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<item>verbose_batch</item>
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<item>batch_cached</item>
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<item>verbose_batch_cached</item>
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<item>batch_trainer</item>
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<item>null_trainer_type</item>
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<item>null_trainer</item>
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@ -752,6 +754,36 @@
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>batch_cached</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file>
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<description>
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This is a convenience function for creating
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<a href="#batch_trainer">batch_trainer</a> objects that are setup
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to use a kernel matrix cache.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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<name>verbose_batch_cached</name>
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<file>dlib/svm.h</file>
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<spec_file link="true">dlib/svm/pegasos_abstract.h</spec_file>
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<description>
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This is a convenience function for creating
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<a href="#batch_trainer">batch_trainer</a> objects. This function
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generates a batch_trainer that will print status messages to standard
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output so that you can observe the progress of a training algorithm.
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It will also be configured to use a kernel matrix cache.
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</description>
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</component>
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<!-- ************************************************************************* -->
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<component>
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@ -92,12 +92,15 @@
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<term file="algorithms.html" name="point_rotator"/>
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<term file="algorithms.html" name="running_stats"/>
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<term file="dlib/svm/pegasos_abstract.h.html" name="replicate_settings"/>
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<term file="ml.html" name="mlp"/>
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<term link="ml.html#mlp" name="multi-layer perceptron"/>
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<term link="ml.html#mlp" name="neural network"/>
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<term file="ml.html" name="svm_pegasos"/>
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<term file="ml.html" name="batch"/>
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<term file="ml.html" name="verbose_batch"/>
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<term file="ml.html" name="batch_cached"/>
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<term file="ml.html" name="verbose_batch_cached"/>
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<term file="ml.html" name="batch_trainer"/>
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<term file="ml.html" name="randomize_samples"/>
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<term file="ml.html" name="is_binary_classification_problem"/>
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