[FEA] QuantileTransformer

[shourya-otta]

Is your feature request related to a problem? Please describe.
QuantileTransformer is needed to process time series data to remove outliers.

Describe the solution you'd like
GPU version of sklearn.preprocessing.QuantileTransformer.

[teju85]

We already have most of this implemented inside our decisiontree C++ layer here! It is better to pull this logic into an ml-prim first and then expose it on libcuml++ first.

Tagging @JohnZed and @cjnolet JFYI.

[chaithyagr]

@teju85 is anyone working on this? I may need to read some theory, but can I work on this if possible?

[teju85]

@chaithyagr So far nobody. Yes, sounds like a good next step for you! You can start by looking at corresponding sklearn documentation as well as the code. Also, like I mentioned above, most of it should already be available in our decisiontree implementation here Let me know in case you need any more details on this one.

[github-actions]

This issue has been labeled inactive-90d due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

[github-actions]

This issue has been labeled inactive-30d due to no recent activity in the past 30 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed. This issue will be labeled inactive-90d if there is no activity in the next 60 days.