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Specific class weights are focused on five classes in the dataset: background, ribbons, cracks, gridline defects, and inactive areas.
A two-level screening design was selected for the experiment be…
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Categorical features can't be used by sklearn models without some kind of transformation. Because there are a number of different methods for ([reference](https://en.wikipedia.org/wiki/Categorical_var…
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To incorporate categorical variable in the information criteria, for example Cp, p should be the sum of the degree of freedom of each covariates + 1.
The reason why I want to incorporate categoric…
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## System details:
#### Positron and OS details:
- Positron: 2024.11.0-116
- Distributor ID: Ubuntu
- Description: Ubuntu 24.10
- Release: 24.10
- Codename: oracular
#### Interpreter details:
- Pyth…
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Hi there,
I'm looking to use xgboost as my nuisance model in my DoubleML setup and use xgboost's own mechanism for encoding categorical features (rather than having to one hot encode them myself).
…
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### Problem description
All [string functions in the `str` namespace](https://pola-rs.github.io/polars/py-polars/html/reference/series/string.html) should be able to work extremely fast on categorica…
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@Devanik21 i analyze the mining python file and see lots of abnormalities ,i would to work on it
there is list of problem s that i can solve
### Data Leakage:** Pre-trained models may have bee…
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I watched your tutorial on YouTube, and it was so interesting but am having problem with categorical dataset even after changing 1 to 7, binary_cross _entropy to categorical_cross_entropy, sigmoid to…
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#### Is your feature request related to a problem? Please describe.
This issue was first raised here: https://discourse.holoviz.org/t/workaround-for-date-based-histogram-tick-labels/788
I have t…