What is the problem?

cc @amogkam @krfricke @richardliaw

Since we removed Jenkins from our build, we need to remove this tag from the repo.

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.

with the Power Transformer.

Motivation

From following resources, the search space of examples/xgboost_simple.py seems not to be practical.

• https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/
• https://www.youtube.com/watch?v=VC8Jc9_lNoY
• https://www.amazon.co.jp/dp/B07YTDBC3Z/

Description

Improve the search space of examples/xgboost_simple.py.

If enter_data() is called with the same train_path twice in a row and the data itself hasn't changed, a new Dataset does not need to be created.

We should add a column which stores some kind of hash of the actual data. When a Dataset would be created, if the metadata and data hash are exactly the same as an existing Dataset, nothing should be added to the ModelHub database and the existing

I think it would be interesting to add a feature to export the best model with a scikit-learn wrapper. This would allow integrating the best AutoML model into a scikit-learn workflow.
I think most of the models that AutoML uses are already from scikit-learn, and those who aren't do provide scikit-learn wrappers, so I think it would be easy to implement.
Is there anything that makes this feature

Need further investigation.

Related:

• Epistimio/orion#335
• Epistimio/orion#359