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pipe_breaks.algorithms package

Submodules​

pipe_breaks.algorithms.cox_ph module​

The following applies a Cox-PH model to break datasets from utilities.

See the lifelines documentation here: https://lifelines.readthedocs.io/en/latest/Quickstart.html?highlight=cox%20proportional#survival-regression

Change the settings in /settings.py — Copyright Global Quality Corp. 2021y

2021-02-22 v1.0 @ericvaags 2021-02-24 v1.1 @ericvaags 2021-03-02 v1.2 @ericvaags 2021-03-16 v1.3 @ericvaags 2021-03-26 v1.4 @sudarshanpillai

pipe_breaks.algorithms.cox_ph.main()​

pipe_breaks.algorithms.kaplanmeier module​

The following code is intended to apply a Kaplan-Meier curve to break datasets from utilities.

See the lifelines documentation here: https://lifelines.readthedocs.io/en/latest/Quickstart.html More specific documentation regarding Kaplan-Meier here: https://lifelines.readthedocs.io/en/latest/Quickstart.html?highlight=kaplan#kaplan-meier-nelson-aalen-and-parametric-models

Change the settings in /settings.py — Copyright Global Quality Corp. 2021

2021-03-03 v1.0 @ericvaags

pipe_breaks.algorithms.kaplanmeier.main()​

pipe_breaks.algorithms.lightgbm module​

pipe_breaks.algorithms.random_survival_forest_GQC module​

pipe_breaks.algorithms.random_survival_forest_GQC.main()​

pipe_breaks.algorithms.remaining_file module​

pipe_breaks.algorithms.test_processing module​

pipe_breaks.algorithms.weibull_ph module​

The following is intended to apply a Cox-PH model to break datasets from utilities.

See the lifelines documentation here: https://lifelines.readthedocs.io/en/latest/Quickstart.html?highlight=cox%20proportional#survival-regression

Change the settings in /settings.py — Copyright Global Quality Corp. 2021

2021-02-22 v1.0 @ericvaags 2021-02-24 v1.1 @ericvaags 2021-03-02 v1.2 @ericvaags

pipe_breaks.algorithms.weibull_ph.main()​

pipe_breaks.algorithms.xg_boost module​

Copyright Global Quality Corp. 2021

2021-02-19 v1.0 @SudarshanPillai 2021-02-25 v1.1 @SudarshanPillai 2021-03-01 v1.1 @SudarshanPillai

pipe_breaks.algorithms.xg_boost.main()​

pipe_breaks.algorithms.xgbse_gqc module​

Module contents​