bin edges must be unique about automl-gs HOT 6 OPEN

I am running into the same issue. The edges problem can be solved by instructing pandas to drop duplicates (add argument duplicates="drop" to the pd.cut call in templates/processors/numeric), but of course it probably means that the problem is in the data itself.

Not sure what the developers could to automatize in this case -- maybe call sklearn Inputer or (in my case) just fill the NAs?

from automl-gs.

from automl-gs.

Well that fixed it but now I get this error:

ValueError: Error when checking input: expected input_loan_type to have shape (1,) but got array with shape (2,)

when I check this attribute, I get this:

train_data.loan_type.unique()

array([3, 1, 2, 4], dtype=int64)

Should I open a separate ticket for this?

And thank you for getting me a little bit further

from automl-gs.

I'm having the same issue. Did you solve it?

from automl-gs.

I did not. I used the xgboost algorithm instead. That ran to completion but I didn't get the output I expected. I thought I would get 1's and 0's but got probabilities instead which wasn't acceptable to what I had to submit for my course project.

Good luck!

from automl-gs.

@avinregmi Sounds similar to my problem here: #25.

from automl-gs.