Cameron Davidson-Pilon

icon indicating a website link https://dataorigami.net icon indicating an email [email protected]

icon company @Pioreactor icon location Waterloo, Canada icon location CEO of Pioreactor. Former Director of Data Science @Shopify. Author of Bayesian Methods for Hackers and DataOrigami.

Results 297 comments of Cameron Davidson-Pilon

Cox Regression with a categorical variable

Hi @anyang-kevin, try `"C(gender, contr.treatment(base='female'))"`

Cox Regression with a categorical variable

What version of formulaic do you have? You can you use `import formulaic; print(formulaic.__version__)` to see

Cox Regression with a categorical variable

Also, don't put quotes around `gender`, it should be: `formula="C(gender, contr.treatment(base='female'))")`

Cox Regression with a categorical variable

Try upgrading formualic to 0.5.2, `pip install formulaic==0.5.2`

Cox Regression with a categorical variable

You'll have to use pandas to manipulate the dataframe prior to providing it to `.fit` then. Ex: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.get_dummies.html

Fix add_at_risk_counts()

Hi @ewulczyn 👋 I think this makes sense. Can you confirm which version of pandas you are using?

Creating PMMLs from lifelines

> And thoughts on moving it to static classes I'm open to this. As you know, current support for sklearn is limited because of these dynamic classes. Can you describe...

Creating PMMLs from lifelines

It's intention is to create an API that a) resembles and b) is compatible with scikit-learn. That is, have classes that behave like, for example, sklearn.linear_model.LinearRegression but contain a *lifelines*...

Creating PMMLs from lifelines

> The part that gets me a bit confused is that lifelines returns a prob value for every time T in the timeline - while most PMMLs I see for...

Frequency Setting off target

👍 this is useful. I never tested this with a scope, but now I really would like to track down this bug.