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UT-CHG / BET

Python package for data-consistent stochastic inverse and forward problems.
http://ut-chg.github.io/BET
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Deprecate adaptive sampling? #366

Closed smattis closed 4 years ago

smattis commented 4 years ago

We discussed deprecating adaptive sampling because it is causing big issues with tests passing and isn't playing well with new versions of scipy. In the least, the hot starting capabilities could be deprecated because most of the i/o related to that is causing the problems. Also, it has not been actively used in a long time.

mathematicalmichael commented 4 years ago

I dug into these issues a lot (threw observations into comments). I think I figured out the source but don't know that I can fix it.

However, #360 may resolve it. if we move away from mat files, all the hotstart issues may be resolved from that.

mathematicalmichael commented 4 years ago

officially will be deprecated in v3.

smattis commented 4 years ago

Can you not close these issues please. They will be closed automatically when the big PR is merged!

On Mon, Jun 1, 2020 at 6:22 PM Michael Pilosov notifications@github.com wrote:

Closed #366 https://github.com/UT-CHG/BET/issues/366.

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