Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-06 Thread Andreas Mueller
On 6/5/18 2:48 AM, Brown J.B. via scikit-learn wrote: 2018-06-05 1:06 GMT+09:00 Andreas Mueller >: Is that Jet?! https://www.youtube.com/watch?v=xAoljeRJ3lU ;) Quite an entertaining presentation and in

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Brown J.B. via scikit-learn
2018-06-05 1:06 GMT+09:00 Andreas Mueller : > Is that Jet?! > > https://www.youtube.com/watch?v=xAoljeRJ3lU > > ;) > Quite an entertaining presentation and informative to the non-expert about color theory, though I'm not sure I'd go so far as to call jet "evil" and that everyone hates it. Actuall

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Joel Nothman
> > Thanks for this -- looks useful. I had to write something similar (for >> the binary case) and wish scikit had something like this. > > > Which part of it? I'm not entirely sure I understand what the core > functionality is. > > I think the core efficiently evaluating the full set of metrics ap

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Andreas Mueller
Is that Jet?! https://www.youtube.com/watch?v=xAoljeRJ3lU ;) On 6/4/18 11:56 AM, Brown J.B. via scikit-learn wrote: Hello community, I wonder if there's something similar for the binary class case where, the prediction is a real value (activation) and from this we

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Brown J.B. via scikit-learn
Hello community, 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 for all prediction cutoff (or set of cutoffs?) >> - scores over all cutoffs (AUC, AP, ...) >> > AUC and AP are by

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Andreas Mueller
On 5/31/18 1:26 PM, Stuart Reynolds wrote: Hi Sepand, Thanks for this -- looks useful. I had to write something similar (for the binary case) and wish scikit had something like this. Which part of it? I'm not entirely sure I understand what the core functionality is. I wonder if there's som

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-06-04 Thread Sepand Haghighi via scikit-learn
Hi Stuart Thanks ;-) Activation threshold is in our plan and will be added in next release (in theĀ  next few weeks) Best RegardsSepand Haghighi On Thursday, May 31, 2018, 9:56:43 PM GMT+4:30, Stuart Reynolds wrote: Hi Sepand, Thanks for this -- looks useful. I had to write something

Re: [scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-05-31 Thread Stuart Reynolds
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

[scikit-learn] PyCM: Multiclass confusion matrix library in Python

2018-05-31 Thread Sepand Haghighi via scikit-learn
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,