class_docstr: Proportional Hazard model
  
  References
  ------------
  Royston, P., & Parmar, M. K. B. (2002). Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Statistics in Medicine, 21(15), 2175–2197. doi:10.1002/sim.1203
code: def _create_initial_point(self, Ts, E, entries, weights, Xs):
      return {
          "beta_": np.zeros(len(Xs["beta_"].columns)),
          "phi1_": np.array([0.1]),
          "phi2_": np.array([0.0]),
      }
  
imports: from autograd import numpy
  from lifelines.datasets import load_lymph_node
  from lifelines.fitters import ParametricRegressionFitter
  from autograd.scipy.special import expit
  import pandas
  from lifelines import CoxPHFitter
  from matplotlib import pyplot
label_desc: Use image node_id 1 for calling the PHSplineFitter obj's underlying member method code with example usage: obj._create_initial_point(Ts, E, entries, weights, Xs) and returns: dict