Re: [scikit-learn] random forests and multil-class probability

2021-08-14 Thread Francois Dion
Yellowbrick has multi label precision recall curves and multiclass roc/auc builtin: https://www.scikit-yb.org/en/latest/api/classifier/rocauc.html Sent from my iPad > On Jul 27, 2021, at 6:03 AM, Guillaume Lemaître > wrote: > > As far that I remember, `precision_recall_curve` and `roc_curve

Re: [scikit-learn] Trained model repository?

2018-06-08 Thread Francois Dion
if sklearn has one, but Tensorflow has Tensorhub https://www. > tensorflow.org/hub/ > > On Fri, Jun 8, 2018 at 7:32 AM, Francois Dion > wrote: > >> Does anybody know of a repo or site that has scikit-learn pre-trained >> models / pipelines? >> >> There are speci

[scikit-learn] Trained model repository?

2018-06-08 Thread Francois Dion
Does anybody know of a repo or site that has scikit-learn pre-trained models / pipelines? There are specific projects that might include a model in their github repo (I've done that for a PyData talk in the past), and I've also seen specific frameworks including some pre-trained neural networks (k

Re: [scikit-learn] a dataset suitable for logistic regression

2017-12-04 Thread Francois Dion
There's at least one that is part of base.py in sklearn.datasets. from sklearn.datasets import load_breast_cancer load_breast_cancer? Signature: load_breast_cancer(return_X_y=False) Docstring: Load and return the breast cancer wisconsin dataset (classification). The breast cancer dataset is a c

Re: [scikit-learn] imbalanced-learn 0.3.0 is chasing scikit-learn 0.19.0

2017-08-24 Thread Francois Dion
Merci beaucoup.‎ Super utile. J' ai d'ailleurs introduit ton module a la conference data intelligence a Capital One il y a moins de 2 mois ( en banlieue de Washington DC).

[scikit-learn] Scikit-learn at Data Intelligence this past weekend

2017-06-30 Thread Francois Dion
up resonated quite a bit with the audience, both in person and on social media: https://twitter.com/tnfilipiak/status/878999245076008960 The notebooks are on github: https://github.com/fdion/seeking_exotics Francois -- @f_dion - https://about.me/francois.dion - https://www.linkedin.com/

Re: [scikit-learn] Regarding Adaboost classifier

2017-03-18 Thread Francois Dion
You need to provide more details on exactly what you need. I'll take a stab at it:Are you trying to replicate OpenCV cascade training?If so, what they call DAB is Scikit learn adaboostclassifier (http://scikit-lea