mnarayan

Just want to add that this feature would be quite useful. I'm a bit surprised by the recommendations in the Miles paper, it doesn't really show the regimes where combine...

Notes don't sync for days at a time and restarting the app results in lost information. I've lost critical notes twice this way in the last 2 months.

I have similar questions about `make_dataset.py`. This template is not simple enough for the novice or even intermediate data scientists to figure out. Better documentation that uses all features of...

This is how one would invoke `BayesSearchCV` using QUIC's default mode. ```python model = BayesSearchCV(QuicGraphLasso(init_method='corrcoef', score_metric=metric), cv=num_folds, n_iter=16, refit=True ) model.add_spaces('space_1', { 'lam': Real(1e-02,1e+1, prior='log-uniform') } ) model.fit(X) ``` Here...

@jasonlaska The example I made was just a brute force example to show usage of `BayesSearchCV` which is a wrapper around skopt's `Optimizer` class. The real changes I think need...

There is a use case for fit/partial_fit that are not a part of transform. For instance, I want to know the row/column means in one dataset like training samples that...

Note the following combinations do not produce build errors shown below. `platform linux -- Python 3.6.3, pytest-3.3.0, py-1.5.2, pluggy-0.6.0` `platform linux -- Python 3.6.9, pytest-4.6.4, py-1.8.1, pluggy-0.13.1` ``` Traceback (most...

I haven't looked closely at whether they provide a `path` mode in their implementation. Either way, we would have to create a CV variant of their pathway optimization, like a...

@maximsch2 This would be fantastic! If I recall correctly, your paper mentioned solving the glasso problem one pathway at a time by wrapping around existing solvers like QUIC. As a...

@maximsch2 It seems indeed the next best step is to create a solver for the Shifted DP-Glasso similar to the current QUICGraphLasso API with a single lambda or a path...