search

UT-CHG / BET

Python package for data-consistent stochastic inverse and forward problems.
http://ut-chg.github.io/BET
Other
11 stars 21 forks source link

sampler class options #362

Closed mathematicalmichael closed 4 years ago

mathematicalmichael commented 4 years ago

User should be able to specify .random_sample_set('g', ...) to generate samples from a normal distribution instead of the uniform currently assumed by the default option 'r'.

Additionally, specifying 'r' or 'reg' should also use the new .set_distribution method for sample sets to store the scipy.stats.distribution.uniform.

mathematicalmichael commented 4 years ago

(g for gaussian), or perhaps n for normal?

mathematicalmichael commented 4 years ago

in v3 these have changed to descriptive names cf: #376