Multiclass ecoc #546
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Multiclass ecoc #546
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…e to messy problems. Parameter registration removed
get rid of SGVector<void/char>
СMap for mallocs tracing
Correct the equations in comment.
So one can actually do a cross-validation with multiclass linear machines
Add vanilla store_model_features for LinearMulticlassMachine
- later SGMatrix/SGStringList/SGNDArray/SGSparseMatrix will all use this
fixes a memory error in one example
* 'master' of git://github.com/shogun-toolbox/shogun: added debug messages code whitespace fix a memory error retun *this on self assignment derive SGVector from SGReferencedData to avoid code duplication Add vanilla store_model_features for LinearMulticlassMachine So one can actually do a cross-validation with multiclass linear machines Correct the equations in comment.
It is not proper to call this in constructor. For example, the return value from apply() might be an "invalid" BinaryLabels because not both positive and negative labels presented.
Ensure related kernels call labels->ensure_valid
…raining, made clustering algorithms do not require labels
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classifier_multiclass_ecoc.py is fixed |
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needs a complete rebase |
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Now the equivalence of OVR and ECOCOVR+LLBDecoding validated