johanneswaage

Hi Winston, Thank you very much for providing this insight into both R6 and R subset assignment as a whole - it works well on my end in a larger...

I'm using between 2000 and 5000 features. A few hundred as one-hot categoricals, and the rest as numeric tdidfs. The matrix is very sparse. I'm explaining one observation, one class...

I’m not accessing dataframe.R directly, I was just pointing out the code step that takes the lions share of time. I train my model on preprocessed and tokenized data, so...

Ah, ok, I see what you mean. In my dataset matrix (or data frame), I have a mix of one-hot encoded categoricals and the TF-IDF features. I guess this is...

Dear both, Here's a reprex that closely mimics my problem. The dataset is a combination of character words transformed to tf_idfs, and categorical metadata. I'm keen to hear, how this...