-
-
Notifications
You must be signed in to change notification settings - Fork 166
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Discussion: model_parts n_sample and model_profile N #175
Comments
I wonder if there is any significant difference between using 1k vs 20k rows for assessment of feature importance. If not then calculations for 1k will be much faster (and AFAIK now these calculations are repeated B times). Yes, it is good idea to unify |
* [python] add residual function to Explainer * [python] vi n_sample -> N #175 * [python] add yhat, fix cp&ap axis title * [python] add residual function to Explainer * center README images
is it fixed? can we close it? |
The name of |
I would argue that
n_sample
inmodel_parts
should beNULL
like iningredients
.DALEX/R/model_parts.R
Line 46 in 1a0c768
Maybe add a
message
saying that your 20k-row dataset is being cut to only 5%.Maybe use fraction sampling. If so, consider changing the
N
inmodel_profile
as well.Unify
n_sample
andN
into one argument, check if there are other functions usingn_sample
The text was updated successfully, but these errors were encountered: