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I had a very strange problem. Train of the xgbTree worked with a clean session, but the second time I tried to run, after a while, it failed.
Turns out that something changed my locale, and then t…
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### Short description and motivation for the proposed feature
I am trying to predict two columns of a time-series dataset. For this I have to create two separate models for each column prediction as …
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Running:
print('\n[Create 2 models for treatment and untreatment and estimate CATE (Conditional Average Treatment Effects)]')
train_df, test_df = cl.estimate_cate_by_2_models()
gives below er…
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So far @KasperGroesLudvigsen has requested the need for a general purpose loss function package, where loss functions can be accessed and used in frameworks like PyTorch etc. I believe such a library …
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Maybe need a support for n_jobs. https://github.com/yzhao062/pyod/issues/58#issuecomment-468001950
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#### Describe the workflow you want to enable
I like the inspect module very much. Sometimes, interpretation of a model is more natural on a different scale (e.g. log) than on the scale of the pred…
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Hi bambu developers,
I have installed and used the latest bambu v3.2.4.
When running bambu I got the following warning message regarding “dplyr 1.1.0. The deprecated feature was likely used in t…
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After training the classification model with template xgboost pipeline, it currently returns predictions using the default predict method, which provides the binary classification label (0 or 1). Howe…
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In the first place I would like to thank you for your contribution to the ML field.
I have a question regarding the usage of data splits. I am aiming for a publication and I did internal and extern…
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Hi Brandon,
I'm having an issue using pdp for a dataset with dashes in variable names.
When I run this line of code:
partial(model, train = training_final, pred.var = 'marital_status_Married-ci…