code: def emission_coeff(
      self, feature: Tensor  # (batch_size, time_length, 1)
  ) -> Tensor:
      F = getF(feature)
  
      _emission_coeff = F.ones(shape=(1, 1, 1, self.latent_dim()))
  
      # get the right shape: (batch_size, time_length, obs_dim, latent_dim)
      zeros = _broadcast_param(
          feature.squeeze(axis=2),
          axes=[2, 3],
          sizes=[1, self.latent_dim()],
      )
  
      return _emission_coeff.broadcast_like(zeros)
  
imports: from typing import List, Sequence, Tuple
  from pandas.tseries.frequencies import to_offset
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
  from gluonts.mx.distribution.distribution import getF
  from gluonts.mx.util import _broadcast_param
  from gluonts.time_feature import Constant, day_of_week_index, hour_of_day_index, minute_of_hour_index, month_of_year_index, TimeFeature, week_of_year_index, norm_freq_str
label_desc: Use image node_id 4 for calling the LevelISSM obj's underlying member method code with example usage: obj.emission_coeff(feature) and returns: _emission_coeff