vsaw / lird Goto Github PK
View Code? Open in Web Editor NEWLetter Image Recognition Data with Machine Learning Algorithms
License: BSD 3-Clause "New" or "Revised" License
Letter Image Recognition Data with Machine Learning Algorithms
License: BSD 3-Clause "New" or "Revised" License
make the console output nicer
While playing a bit with the sigmoid kernels I noticed that they are so bad because the parameters of the kernel have not been fitted to the model data. I then precomputed the kernel parameters and bumped the classification success to ~75%
The precomputation however depends on the training data and could lead to overfitting the classifier. I now wonder if I should pass the training data as a parameter to the _prepare_classifiers
function or not?
Any thoughts @NemoOudeis ?
There seems to be a bug in sklearn when using RadiusNeighborsClassifier with weights='distance'
so it has been disabled in the code until there is time to find a work-around.
I will copy it into a feature branch and remove it form develop
It should get the wiki as a folder and then combine the *.md
files automatically
aaaargh!
If there is time!
Makes it much easier to read and use the CMD interface. See http://docs.python.org/dev/library/argparse.html#argument-groups
Otherwise the confusion matrix and report might show wrong results.
It --data-set all
is used only the last run data set will be shown in the final results.
It is broken because choosing the parameter g
is not implemented.
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