Hi Dylan,
In case you are still looking for a solution:I didn't directly find good
templates for packages that depend on cython (there are quite some, but
from quickly looking at them, I didn't find a simple one), but you can
maybe have a look at one of the other scikit-learn-contrib packages that
Hi Sepand,
Thanks for this -- looks useful. I had to write something similar (for
the binary case) and wish scikit had something like this.
I wonder if there's something similar for the binary class case where,
the prediction is a real value (activation) and from this we can also
derive
- CMs fo
PyCM is a multi-class confusion matrix library written in Python that supports
both input data vectors and direct matrix, and a proper tool for
post-classification model evaluation that supports most classes and overall
statistics parameters. PyCM is the swiss-army knife of confusion matrices,
Hello, new contributor here.
I've been meaning to contribute to the library for a while now but I
haven't found anything easy or clearenough for me to.
While going through the source today, I noticed some possible features I
could implement and would love to run it by the team here to see which is
