Pavan Ramkumar
Pavan Ramkumar
@shearerp it's always great to hear about concrete use cases in the context of feature requests. have a look at our readme page where a basic set of benchmarks is...
Wow, terrific suggestions! Our original idea behind `conditions` was to have the user provide whatever partitioning of the trials they prefer into unique conditions. We've only illustrated this using AND...
Sounds great! Spread the word and feel free to make more suggestions as you use the package in the mean time.
@neuromusic thanks for this! i'm sold on using pandas for trial info management. before we dive headlong though, we need to think of two related issues: - **use cases** when...
Yes, when the documentation says "sparse matrix", we mean it's a dense matrix with sparse non-zero entries. I realize how this can be confusing. You are welcome to submit a...
Thanks for picking this up @geektoni ! Please go ahead and fork.
@erik-jan-climate i had a brief look at your data and code. a few comments to help you model this the right way. - 15/19 samples in `y` are zeros so...
@jasmainak one learning for us from here is that i had to increase `max_iter` and decrease `tol` wrt the defaults in order to get equivalent results to sklearn's `LinearRegression`. perhaps...
@ivarzap thanks for your question. - What we are calling the Tikhonov matrix is the matrix square root of the inverse of the prior covariance matrix. In other words, the...
renaming a few issue titles for clarity