Skipper Seabold
Skipper Seabold
Fixes the decode issue mentioned in #116.
This is going to need another pair of eyes, but I wanted to try out the extension and also learn a little more about jupyterlab development. I never used this...
If a password happens to contain `@`, then the previous masking wouldn't mask the entire password.
Do we have a notebook that does model comparison? If not, might be nice to cook one up showing how to use the methods provided by, say, the linear regression...
Just wanted to point you to some similar functionality we have in statsmodels that just pulls from the Rdatasets repo. https://github.com/statsmodels/statsmodels/blob/master/statsmodels/datasets/utils.py#L246
Would be interested in making a pull request in this direction. Any thoughts? Is it silly just to convert a DataFrame to a ctable at the top of append?
Dealing with just Python 2 for now, I understand that patsy expects strings. But the data containers might not have this design. So what's the recommended way for handling this?...
https://groups.google.com/forum/#!topic/pystatsmodels/ZvsyZag3xaw ``` import patsy import pandas as pd cps = pd.read_csv("http://www.mosaic-web.org/go/datasets/cps.csv") patsy.dmatrix("age + educ + married", data=cps) ```
Do we really need, say, the reference level in the Treatment contrast? I'm not sure it adds enough information vs. the complexity it adds to the names to warrant inclusion....
I was perusing the code a little more, and I wanted to bring this up, because people will run into it. In the S3Map class, you provide a `__setitem__`. S3...