code: def __init__(self, n_baseline_knots, *args, **kwargs):
      self.n_baseline_knots = n_baseline_knots
      self._fitted_parameter_names = ["beta_"] + [
          "gamma%d_" % i for i in range(0, self.n_baseline_knots)
      ]
      super(CRCSplineFitter, self).__init__(*args, **kwargs)
  
file_path: lifelines/examples/crowther_royston_clements_splines.py
imports: import pandas
  from autograd import numpy
  from lifelines.fitters import ParametricRegressionFitter
  from lifelines import WeibullAFTFitter
  from lifelines.fitters.mixins import SplineFitterMixin
  from lifelines.utils.safe_exp import safe_exp
label_desc: Use image node_id 1 to create a new CRCSplineFitter object from inherited base classes: SplineFitterMixin, ParametricRegressionFitter with example: obj = CRCSplineFitter(n_baseline_knots)