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When assessing the significance level of the \beta parameter the z-score and associated p-value can be used in a test of significance assuming that $ \beta_j ~ N(0, v_j)$. Giving a confidence bound
$…
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Enhancement: Allow categorical predictors in Bayesian linear regression
Purpose: To be able to use categorical predictor variables in the BMA implementation.
Many thanks!
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Many studies have been published attempting to establish clinical predictors of hypoxemia. I believe these studies have been done because of the difficulty of getting pulse oximeters. The authors invo…
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## Goal
The function `isofit()` need to become more flexible so as to allow for the construction of isoscapes with more predictors and isoscapes with no predictor (beyond spatial autocorrelation).
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Team Score
Player Score
https://scikit-learn.org/stable/modules/feature_selection.html
**Other important metrics**
Needed
Output predictor **correlations** See wiki for info
In pandas:
https:…
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A categorical variable is currently treated as a single predictor, each category should be its own predictor.
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**Describe the bug**
There is no clear information about what is the current version of `kubebuilder` and `kustomize` versions.
When the commands `make install` or `make deploy` is executed, a lot…
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The following suggestions bring a performance improvement that increases as dataset size increases. As far as I have seen, performance improvements easily reaches ~20% on a "small" 64MB dataset. I am …
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I am running the following line with all numerical dataset.
pps.predictors(df, "organic")
And, it throws the following error.
AttributeError: module 'ppscore' has no attribute 'predictors'
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I tried to unify my binary classification rf model trained by ranger. There is an error
_Warning message:
In Ops.factor(get("Prediction"), n) : ‘/’ not meaningful for factors_
I don't know how to g…