Ray Bell

Results 154 issues of Ray Bell

May be of interest: https://github.com/google-research/robustness_metrics Metrics for image classification cc. @dougiesquire

comment
component: contingency

[`xr.apply_unfunc`](http://xarray.pydata.org/en/stable/generated/xarray.apply_ufunc.html) expects a core dimension to be a single dask array chunk. ```python import numpy as np import pandas as pd import dask.array as da import xarray as xr import...

question
wontfix
component: dask

Moving conversion out from other issues @ahuang11 Something along the lines of the following + geeksforgeeks.org/partial-functions-python However, I can't seem to get my head wrapped around it completely. ``` import...

refactor

In doing https://github.com/raybellwaves/xskillscore/pull/83 There is some refactoring which can be done to slim the code and make it easier to add other metrics https://github.com/raybellwaves/xskillscore/pull/83#discussion_r394777966 ``` APPLY_UFUNC_KWDS = dict( dask="parallelized", output_dtypes=[float]...

refactor

Copying from a comment in a PR by @aaronspring (https://github.com/raybellwaves/xskillscore/pull/121#issuecomment-671116961): How to deal with skipna?: propose to not just not have it, or with skipna set fillna(0) as documented in...

enhancement
question

http://xarray.pydata.org/en/stable/examples/apply_ufunc_vectorize_1d.html

refactor

https://en.wikipedia.org/wiki/Cram%C3%A9r's_V?wprov=sfti1 Believe it’s used in ML to show correlation between variables. Has range 0 - 1 https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html

enhancement
good first issue

Not sure if it is worth pursing but I recently came across https://github.com/pandas-profiling/pandas-profiling It provides a few correlation metrics (e.g. https://pandas-profiling.github.io/pandas-profiling/examples/titanic/titanic_report.html#correlations) and has some categorical correlation metrics. I believe the...

enhancement
good first issue

Probably need to provide the user with a warning. ``` >>> import xarray as xr >>> import pandas as pd >>> import numpy as np >>> from scipy.stats import norm...

enhancement

I love this repo! Great to have a list of what's out there. There are lots of packages i've come across over the years which can probably go in here...