datasciencebud

Hi, Optimization just gave warning as shown in attached image and output is "Singular matrix E in LSQ subproblem (Exit mode 5)". I'm passing media cost in media_data, all the...

Yes r_hat values are less than 1.1

I have attached the response curves. But I have few questions: 1. "extra_features", i'm passing impressions into to this. Should i pass the sum of all the channels impressions as...

Hi Pablo, Thanks for the response. I'm still facing the same issue. "/content/notebooks/scipy/optimize/_numdiff.py:579: RuntimeWarning: invalid value encountered in true_divide J_transposed[i] = df / dx Singular matrix E in LSQ subproblem...

Basically if a channel has 0 as the media cost for many weeks, we are getting this error. If we select a period with relatively less 0s its working

What details do you need?

This is the best model we picked out of all the models. 1. And is there a way where we can strictly make sure the channel is not dropped at...

is there a way where we can strictly make sure the channel is not dropped at all?

There are some channels that are mostly used for awareness purposes(impressions) not for conversions. So if there are very less conversions the effect share is almost 0 but we need...

We don't expect awareness channels to directly create conversions, we expect it to impact conversions on other channels