Shreesha Kumar Bhat

`PLSRegresson `supports multi-target regression, hence the predicition is 2d-array. As a proposed solution, I suggest creating a custom subclass of `PLSRegression`, which we can call `PLS1D`. This subclass overrides the...

Currently `transform `method of `KNNImputer` returns input `X `without adding missing columns, if there are no missing values in `X `regardless of wether there are `missing_indicators `or not . I...

We can fix it by concatenating with the indicator even if there's no missing values. ``` # Removes columns where the training data is all nan if not np.any(mask): #...

> That looks great Shreesha! Thanks for looking into this so quickly :) I will create a PR if reviewers happy with the approach

Ok will open PR for this issue

Working on [1.10. Decision Trees](https://scikit-learn.org/stable/modules/tree.html)

I've noticed that the changes to `metrics.pairwise.paired_distance` could impact `cluster.AgglomerativeClustering`. Specifically, the `linkage_tree `function relies on `metrics.pairwise.paired_distances` when the `affinity `isn't `precomputed`. Given this, should I go ahead and make...

This issue arises due to the different underlying computations when 'X' is of integer or float type. It looks like, when `X `is integer type `pairwise_distances_chunked` is used for computation...

@catanzaromj Are you working on this? If not, I will open PR.

@catanzaromj I think [https://github.com/scikit-learn/scikit-learn/pull/26568](https://github.com/scikit-learn/scikit-learn/pull/26568) deals specifically with `parameter validation` for `NearestNeighbors`. This issue still requires a PR from what I can see.