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```Python
>>> from sklearn.datasets import load_iris
>>> from sklearn.linear_model import LogisticRegression
>>> X, y = load_iris(return_X_y=True)
>>> clf = LogisticRegression(random_state=0).fit(X, …
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Is the `pretty_ad_output = np.exp(pretty_ad_output)` line correct?
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### Description
exact logistics regression is a powerful alternative to the usual "unconditional" logistic regression when the number of events is small compared to number of covariates
### Purpose
…
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I‘m using python to code. Maybe we can communicate about the models?
My socre is 4.05.
qq num 1064803638
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The API already has alerts features for vanilla alerts that the warnings menu should definitely include.
Also, there are several things that need to become warnings. Feel free to include examples. H…
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As described in the paper the first method for MNAR is using logistic regression with all other features as inputs, then mask data using MCAR. But in the code, I found it only has MNAR self-masking lo…
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### Description
Conditional logistic regression is used in the analysis of matched case-control data. Its preferred in such cases over other types of regression.
### Purpose
To allow researchers to…
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## Description
The logistic_lcdf() and logistic_lccdf() function break down at standardised values beyond 36 or so, due to numerical underflow (e.g., [here](https://github.com/stan-dev/math/blob/92…
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I've been spending a lot of time the last couple days trying to get the right transformation function. And it occurs to me what I really want is bins, and then the method I want is multinomial classif…
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