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Adaptive Experimentation Platform

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The model requires certain features in order to obtain a good fit, but these parameters are not fixed, nor are they necessarily something that makes sense to be optimized for...

question

I read this [issue](https://github.com/facebook/Ax/issues/274) and found it really helpful. I understand there is a function, `relativize_data`, but was wondering if there is an example that shows how to configure/update the...

Hi guys! Playing with ax for a while, and I never found a "native" way to get a predicted optimal set of parameters. For exemple : If I take a...

question

https://github.com/facebook/Ax/blob/fa3e90587889b5c1aa3ca4cfb4aca82ca2bbd1b3/ax/modelbridge/prediction_utils.py#L16-L41 The documentation for `predict_at_point` says at the top that it returns the mean and standard _deviation_, whereas at the bottom it says mean and standard _error_. My reading of...

Summary: I believe this will work better than D37865277 because it will tell us specifically which test failed. D37865277 will tell us all tests that ran after the file was...

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I'm trying to save an experiment with a freshly 'attached' MapData object created by **.fetch_trial_data_multi**. The new data is supposed to replace the existing data, stored in the data_v2 table,...

Differential Revision: D38012733

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Hey, I am testing the recently added HierarchicalSearchSpace (https://github.com/facebook/Ax/issues/140) for my use case. However, I discovered that it is not possible to attach trials using the service API. Below is...

bug

Differential Revision: D37898593

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