Sushmit Roy
Sushmit Roy
@chris-ratcliffe were you able to resolve this issue? I have been trying to connect Netezza in a python3 and mac but always getting class not found issue.
@chris-ratcliffe I tried connecting using a python shell terminal as well. But I still get the same error. Also, I am not pulling from multiple databases
Any updates on this one? I am also getting the same error
@fcollonval I am on Jupyter lab3
@SylvainCorlay and @fcollonval Thanks for the help, I figured out it was an environment issue.
@canyon289 Can you help me how can I rename variables for multivariate distribution ``` with pm.Model() as category_model: a = np.ones(k) theta = pm.Dirichlet("theta", a=a) count_max_categories = pm.Multinomial("count_max_categories", n=n, p=theta,...
Also IMO it might be nice to add the derivation of the above using the Law of Total Expectation and the fact that E(Y|W=1) = P (Y=1|W=1) Using the fact...
if Y is continuous how does the derivation work E[Y^{*}] = P(Y | W=1) - P(Y| W=0) What I have is this E[Y_star] = E (Y * (W - p)/p...
Has there been any resolution to this? I think this is an issue in Mac/Linux like environment