Random survival forest #38
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…ved redundant forest test
- Parallelised Tree training - Made Weibull fitting of terminal nodes lazy
…gs in mom for these functions
…es. Done in preparation for future non-parametric RSFs with arbitrarily truncated or censored data.
…the parts where there is beta array logic
…ged forest scoring function to use mortality instead of Hf
… renamed from Tree)
added cache to the SurpyvalData to_xrd
added use of pinv to coxph model
Removed renewal class as it is not needed.
added RecurrentEventData class to be optionally returned from the handle_xicn function.
Changed to recurrent_utils.py
Implemented the GRP and G1-RP fit and simulate methods.
Update the __iter__ method for the SurpyvalData class to allow to unpack the xcnt using the asterisk operator.
Updated xicn_handler to accomodate interval censored counts.
Implemented the HPP class with all types of censoring. A good general solution!
Allowed for more than one left censored count in the RecurrentData
Large Update: Completely rewrote the create_ll function. Corrected errors in the equations for the NHPP models.
added simulation and plot functions to the ParametricRecurrence model
updated RecurrentEventData to accommodate for 2D x
Added two recurrent data sets
Added ability to use covariate information
added ParametricRecurrenceRegressionModel class
added init file to regression module
Created NHPP and HPP proportional intensity fitters and models
Changed tree and forest to allow for parametric or non-parametric leaves. Also added min_leaf_samples, while keeping min_leaf_failures, as fitting parameters.
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Merging initial attempt at parametric survival tree and proportional incidence models