26b41f186c9288785e2045bd1cb42fb4503a7bb7,examples/cure_model.py,,,#,24

Before Change


swf = CureModel(penalizer=0.0)

rossi = load_rossi()
rossi["intercept"] = 1.0

covariates = {"lambda_": rossi.columns, "rho_": ["intercept"], "beta_": rossi.columns}

swf.fit(rossi, "week", event_col="arrest", regressors=covariates)  // TODO: name

After Change


covariates = {
    "lambda_": rossi.columns.difference(["week", "arrest"]),
    "rho_": ["1"],
    "beta_": rossi.columns.difference(["week", "arrest"]),
}

swf.fit(rossi, "week", event_col="arrest", regressors=covariates)  // TODO: name
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: CamDavidsonPilon/lifelines
Commit Name: 26b41f186c9288785e2045bd1cb42fb4503a7bb7
Time: 2020-07-12
Author: cam.davidson.pilon@gmail.com
File Name: examples/cure_model.py
Class Name:
Method Name:


Project Name: CamDavidsonPilon/lifelines
Commit Name: 26b41f186c9288785e2045bd1cb42fb4503a7bb7
Time: 2020-07-12
Author: cam.davidson.pilon@gmail.com
File Name: examples/mixture_cure_model.py
Class Name:
Method Name:


Project Name: CamDavidsonPilon/lifelines
Commit Name: 26b41f186c9288785e2045bd1cb42fb4503a7bb7
Time: 2020-07-12
Author: cam.davidson.pilon@gmail.com
File Name: examples/copula_frailty_weibull_model.py
Class Name:
Method Name: