Quantile Regression in Python

dmlc / xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

https://xgboost.readthedocs.io/en/stable/

Apache License 2.0

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Quantile Regression in Python #9368

Closed kinkade-aumni closed 1 year ago

kinkade-aumni commented 1 year ago

I am interested in this walkthrough:

https://xgboost.readthedocs.io/en/latest/python/examples/quantile_regression.html#sphx-glr-python-examples-quantile-regression-py

However, I am unable to find version 2.0.0 anywhere. I also cannot find the example itself on the repo. Would appreciate guidance.

trivialfis commented 1 year ago

Hi, 2.0 is still being worked on at the master branch. Out of curiosity, how did you get to that link? We set the default link to stable instead of latest. If there's a way for us to prevent people randomly bumping into unreleased document that can help prevent many confusions.

kinkade-aumni commented 1 year ago

I specifically googled "XGBoost Quantile Regression" and it was the first available link.

Is there some way i can download the 2.0.0-dev branch and work with it?

trivialfis commented 1 year ago

Yes, https://xgboost.readthedocs.io/en/latest/install.html#nightly-build .

kinkade-aumni commented 1 year ago

Thank you. Is there a timeline on when version 2.0.0 will be fully released?

trivialfis commented 1 year ago

Not yet, but we should be able to get into RC within two months.

kinkade-aumni commented 1 year ago

Thank you for the details.