Leandro Hermida

Results 150 comments of Leandro Hermida

> > Expected behavior: Setting clip_on=True should result in neither bars or error bars being clipped. > > It's reasonable to have this expectation, but it's not correct. The kwargs...

> Perhaps you could quote the relevant part of the docs? Otherwise it’s impossible to fix… kwargs: key, value mappings Other keyword arguments are passed through to [matplotlib.axes.Axes.bar()](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.bar.html#matplotlib.axes.Axes.bar).

Sorry forgot to put link https://seaborn.pydata.org/generated/seaborn.barplot.html

I get the same too, it's because of upgrading to scikit-learn 0.22.x. You can suppress it like: ```python warnings.filterwarnings('ignore', category=FutureWarning, module='sklearn.utils.deprecation') # all ELI5 imports here from eli5 import explain_weights,...

Please keep developing and evolving this wonderful library, I use it pretty much everyday, many of use work in both python and R together since it gives you a much...

Another workaround is to use `R.version` in your rpy2 Python code, e.g.: ```python r_version_list = robjects.r("R.version") print(f'{r_version_list.rx2("major")[0]}.{r_version_list.rx2("minor")[0]}') ```

As of v3.1.0 issue still exists. In Linux if I execute the following line: ```python import rpy2.robjects as robjects ``` In `/tmp` it creates an `Rtmp*` directory that doesn’t get...

I'm seeing this issue in 7.8.5 as well. Some wrappers do not require any special environment other than `snakemake` and `snakemake-wrapper-utils` which are already installed in the env where the...

@CharlieCheckpt I’m sure you’ve seen this https://gist.github.com/sebp/d580d44c4beab3379c6dfda6810b33b8 While it does `GridSearchCV` over each alpha in my experience since @sebp wrote `CoxnetSurvivalAnalysis` in C++ with Eigen it’s really fast so it...

The sklearn way to determine the optimal alpha without `GridSearchCV` would be to design a `CoxnetSurvivalAnalysisCV` class very much like [sklearn.linear_model.ElasticNetCV](http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html) The only disadvantage to the `*CV` classes in sklearn...