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Add the interface for fix/unfix parameters for gradient optimization. #94

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zhenwendai opened this issue Oct 22, 2018 · 2 comments
Open

Add the interface for fix/unfix parameters for gradient optimization. #94

zhenwendai opened this issue Oct 22, 2018 · 2 comments
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enhancement New feature or request
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MXFusion v0.3.1

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@zhenwendai
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@zhenwendai zhenwendai added the enhancement New feature or request label Oct 22, 2018
@meissnereric meissnereric added this to the MXFusion v0.3.0 milestone Feb 12, 2019
@marpulli
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I keep forgetting how to fix things so I might have a go at this. How would you do it? A method on the Inference object? Something like: infr.fix_parameter(m.X)?

@meissnereric
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meissnereric commented Jun 26, 2019 •
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Looks fine to me. With another call to InferenceParameters inside that, similar to fix_all but only fixing a single parameter.

One question I have is around the difference between model and posterior parameters here. Are they any different in this context? I'll give it some thought in the meantime, but anything you or @zhenwendai can think of?

@marpulli marpulli mentioned this issue Jun 27, 2019
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@zhenwendai @meissnereric @marpulli