Re: [Scikit-learn-general] New version of "scipy lecture notes"

On 2015-09-28 14:21:35, Gael Varoquaux wrote: > We have just released a new version of the "scipy lecture notes": > http://www.scipy-lectures.org/ > > These are a consistent set of materials to learn the core aspects of the > scientific Python ecosystem, from beginner to expert. They are written >

[Scikit-learn-general] New version of "scipy lecture notes"

Dear Pythonistas, We have just released a new version of the "scipy lecture notes": http://www.scipy-lectures.org/ These are a consistent set of materials to learn the core aspects of the scientific Python ecosystem, from beginner to expert. They are written and maintained by a set of volunteers

Re: [Scikit-learn-general] The proper way to do nested Cross Validation with (Randomidized/)GridSearchCV pipelines

Sebastian, Many thanks - your suggestion matches my intuition, and this is how I'll proceed from here! best wishes, Philip On Monday, September 28, 2015, Sebastian Raschka wrote: > Hi, Philipp, > > > (Randomized/)GridSearchCV to 'optimize' the hyperparameters > > of my estimator. However, if

Re: [Scikit-learn-general] The proper way to do nested Cross Validation with (Randomidized/)GridSearchCV pipelines

Hi, Philipp, > (Randomized/)GridSearchCV to 'optimize' the hyperparameters > of my estimator. However, if I want to do model selection after this, Essentially, the hyperparameter tuning is already your model selection step since you couple the (Randomized/)GridSearchCV with some performance met

Re: [Scikit-learn-general] Influence of weights in extra trees classifiers importance

Thanks a lot this is definitively interesting. More advices are welcome ! On Sat, Sep 26, 2015 at 9:36 PM Sebastian Raschka wrote: > Hm, > best practices for dealing with class imbalances are (still) a tricky > business I think. Typically, you see people using different sample > techniques to