Antonio Carlos Falcão Petri

Hi everyone. Test setup was wrong, but new commit's diff should be self-explanatory. Let me know if there's something still missing. You can also check this [colab](https://colab.research.google.com/drive/1j4UNdqcafKH8WQUYIr871xc8h2A97B_z?usp=sharing). 34s -> 5s...

Hi @anton-l, @sanchit-gandhi. I've merged `main` trying to fix the _Add model like runner_ CI step, but with no success. Could you take a look on that, and the overall...

The "Read from clipboard" functionality works only when importing **public** keys, but this is not clear when trying to import **private** keys. This implies that an user might copy their...

The "Read from clipboard" functionality is implemented here: https://github.com/open-keychain/open-keychain/blob/258cd4c8367d62515bf71f4a919b3cf67aa04e65/OpenKeychain/src/main/java/org/sufficientlysecure/keychain/ui/ImportKeysFileFragment.java#L115 and cleary expects the content to be a **public** key (see code snippets below). Importing only public keys might be intented...

The intended (and secure) way to import keys is described in https://www.openkeychain.org/faq/#what-is-the-best-way-to-transfer-my-own-key-to-openkeychain.

Sklearn 1.0 estimator API has better support for `feature_names`. For example, using `DataFrameMapper`'s `df_in=True` allows us to get: ```python mapper_fs = DataFrameMapper([(['children','salary'], SelectKBest(chi2, k=2))], input_df=True) mapper_fs.fit_transform(data[['children','salary']], data['pet']) print(mapper_fs.transformed_names_) ['children_salary_children', 'children_salary_salary']...

One thing I noted is that current implementation is already a little bit inconsistent within sklearn 0.23: ```python import pandas as pd import sklearn.preprocessing from sklearn_pandas import DataFrameMapper df =...

Hi, everyone. Please let me know if there's anything I can do from my end.

The `categories_` attribute does not represent the derived feature names. It actually contains `The categories of each feature determined during fitting`, see [OneHotEncoder.categories_](https://github.com/scikit-learn/scikit-learn/blob/2beed5584/sklearn/preprocessing/_encoders.py#L248)). Nonetheless, sklearn 1.0 transformer's `get_output_names` is getting...

It would be really nice if we could fork or even contribute to the JS code. I don't have experience in developing for Jupyter, but what about making drawdata a...