class_docstr: Parameters
  ----------
  level_knot_scale : float
      sigma for level; default to be .1
  level_segments : int
      the number of segments partitioned by the knots of level (trend)
  level_knot_distance : int
      the distance between every two knots of level (trend)
  level_knot_dates : array like
      list of pre-specified dates for the level knots
  seasonality : int, or list of int
      multiple seasonality
  seasonality_fs_order : int, or list of int
      fourier series order for seasonality
  seasonality_segments : int
      the number of segments partitioned by the knots of seasonality; when it is 0, returns to a static coefficients
      of regression used in the seasonality estimation
  seasonal_initial_knot_scale : float
      scale parameter for seasonal regressors initial coefficient knots; default to be 1
  seasonal_knot_scale : float
      scale parameter for seasonal regressors drift of coefficient knots; default to be 0.1.
  degree_of_freedom : int
      degree of freedom for error t-distribution
  date_freq : str
      date frequency; if not supplied, pd.infer_freq will be used to imply the date frequency.
docstr: Override function from Base Template
code: def set_init_values(self):
      """Override function from Base Template"""
      init_values = None
      if len(self._seasonality) > 1 and self.num_of_regressors > 0:
          init_values = dict()
          init_values[
              RegressionSamplingParameters.COEFFICIENTS_KNOT.value
          ] = np.zeros(
              (self.num_of_regressors, self.num_knots_coefficients)
          )
          self._init_values = init_values
  
imports: import numpy
  import pandas
  from copy import deepcopy
  import torch
  from enum import Enum
  import math
  from scipy.stats import nct
  import matplotlib.pyplot
  from ..constants.constants import PredictionKeys, PredictMethod, TrainingMetaKeys, PredictionMetaKeys
  from ..exceptions import IllegalArgument, ModelException
  from .model_template import ModelTemplate
  from ..estimators.stan_estimator import StanEstimatorMAP
  from ..utils.kernels import sandwich_kernel
  from ..utils.features import make_fourier_series_df
  from orbit.constants.palette import OrbitPalette
  from ..utils.knots import get_knot_idx, get_knot_dates
  from ..utils.plot import orbit_style_decorator
label_desc: Use image node_id 2 for calling the KTRLiteModel obj's underlying member method code with example usage: obj.set_init_values() without return types