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Adaptive Experimentation Platform

Results 229 Ax issues
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I am using SEBO to identify the main control parameters of my problem. some of the control parameters have dependencies. that said, when parameter x1 is off the value of...

Differential Revision: D53399704

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fb-exported

Summary: Moving general analysis code out of report_utils.py, so that the new Ax Analysis module does not need to take it up as a dependency. Differential Revision: D53285478

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During model optimization im getting the following warning: scipy_minimize` terminated with status 3, displaying original message from `scipy.optimize.minimize`: ABNORMAL_TERMINATION_IN_LNSRCH. And recently, it tried several times after raising the error. The...

bug

I am wondering how to find the acquisition function being used in AxClient() with the Service API when it isn't specified manually? I'm sure its buried among the attributes somewhere,...

question
in progress

Summary: While I was working on adding some new tests I noticed we could be using the vars defined in setup much more in the file to reduce redundancy Differential...

CLA Signed

Summary: In order to support multiple models in a single gen call we need to support the `Auto` Transition class. This criterion will automatically move to the next node once...

CLA Signed

Summary: Adds a helper & a context manager that can be used to set the RNG seed for numpy, pytorch & the native random module. Updates previous usage of botorch...

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Summary: Updates the behavior to match the docstring. Previously, this would call `model_spec_to_gen_from`, which could lead to fitting multiple models if the node had multiple model specs. The return type...

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The constraint: ``` "2.0 * x3 + x1 + x2 >= 1" ``` produces: ``` ValueError: A linear constraint should be the form a*x + b*y - c*z = x4`...