Sebastian Raschka

In addition to the EnsembleVotingClassifier, it would be nice to also have a EnsembleVotingRegressor

Would be nice to add a `mlxtend.plotting.plot_scatter_histogram` function analogous to the `mlxtend.plotting.plot_scatterplotmatrix` function. The output should be something like the following one: 

fixed_features for ExhaustiveFeatureSelector

1

Similar to the recently added `fixed_features` parameter that was added to the `SequentialFeatureSelector` (see #578), a `fixed_features` param could be added to the `ExhaustiveFeatureSelector` as well. This would allow users...

Just watched the nice talk by Nathan Cheever at https://www.youtube.com/watch?v=nxWginnBklU, and it would be nice to go through the code base and replace all instances of pandas .apply with Numpy's...

Currently, we have a "`drop_last_proba`" parameter, which drops the last "probability" column in the feature set if it is set to `True`, because it is redundant: p(y_c) = 1 -...

Replace `k_features` in `SequentialFeatureSelector` by `feature_range` and `recipe`

8

For ease of use and versatility, the `k_features` parameter should be changed to - feature_range: (min_val, max_val) or "all" - recipe: "best" or "parsimonious" Regarding `feature_range`, if "all" is selected,...

See https://github.com/rasbt/python-machine-learning-book-2nd-edition/issues/132 for discussion.

[FEATURE] Adding a column to CSVs to sort by architecture type

3

For certain contexts, it is interesting to look at only convolution-based models (and/or compare to attention-based architectures). To facilitate this, there could be an optional column in the [CSV](https://github.com/rwightman/pytorch-image-models/blob/master/results/results-imagenet.csv) files....

It would be nice to have a `--check_latest` flag that checks if the latest packages are installed. For example ```python %watermark --packages numpy numpy: 1.22.1 (version 1.22.4 is available) ```...