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License: MIT License
Functions for cross validation, shuffle, cartesian product and more
License: MIT License
It must normalize by converting it to lower case and stripping the diacritical marks. Refer to normalization function in wink-pos-tagger: this function has to move here!
I had another question about the output from metrics() function inside of helpers.validate.cross( labels )
Are the confusion matrix properties the predicted label or the actual label?
output is something like:
{
spam: { spam: 50, notSpam: 2 },
notSpam: { spam: 1, notSpam: 90 }
}
how would this data fit into this matrix?
[ [ TP, FP ],
[ FN, TN ] ]
edit: I'm guessing it's
[ [ 50, 2 ],
[ 1, 90 ] ]
which also means the properties are the actual label
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