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The InstrumentalVariableRegression.fit method overrides the ModelBuilder.fit method, but from what I can see this is unnecessary. And it actually is behind the curve because it doesn't grab the random_seed and provide it to pm.sample_prior_predictive or pm.sample_posterior_predictive.
Obviously check that local tests pass. As of right now we have some issues with doctests, see #323, and I'm actively working on that.
The InstrumentalVariableRegression.fit method overrides ModelBuilder.fit to accommodate the Z dataframe, which is also necessary for the build_model method. Perhaps it would be simpler to just include the random_seed.
The
InstrumentalVariableRegression.fit
method overrides theModelBuilder.fit
method, but from what I can see this is unnecessary. And it actually is behind the curve because it doesn't grab therandom_seed
and provide it topm.sample_prior_predictive
orpm.sample_posterior_predictive
.Obviously check that local tests pass.
As of right now we have some issues with doctests, see #323, and I'm actively working on that.cc @NathanielF
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