Add flowmodel features #216
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@@ Coverage Diff @@
## main #216 +/- ##
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Coverage 98.67% 98.67%
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Files 51 51
Lines 4085 4085
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Hits 4031 4031
Misses 54 54
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New features include: * Option to train with weights * Check that the batch size doesn't produce a final batch that is very small * Allow training without validation data
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Add various features that will be used in the importance nested sampler.
This also changes some existing features.
New features
end_iterationandfinaliselog_probandsamplemethodsChanges to existing features
noise_scalecan now only be specified as a float, the user must specifynoise_typeto use an adaptive scale.