class_docstr: A class containing functions supporting quantile, poisson and gaussian regression, to be used as a mixin for some
  `RegressionModel` subclasses.
class_docstr_tok: ["A","class","containing","functions","supporting","quantile",",","poisson","and","gaussian","regression",",","to","be","used","as","a","mixin","for","some","`","RegressionModel","`","subclasses","."]
docstr: [mu, sigma] on the last dimension, grouped by component
docstr_tok: ["[","mu",",","sigma","]","on","the","last","dimension",",","grouped","by","component"]
code: def _params_normal(self, model_output: np.ndarray) -> np.ndarray:
      """[mu, sigma] on the last dimension, grouped by component"""
      shape = model_output.shape
      n_samples = shape[1]
  
      # extract mu and sigma for each component
      mu_sigma_list = [model_output[i, :, :] for i in range(shape[0])]
  
      # reshape to (n_samples, output_chunk_length, 2)
      params_transposed = np.array(mu_sigma_list).transpose()
      params_reshaped = params_transposed.reshape(
          n_samples, self.pred_dim, -1
      )
      return params_reshaped
  
imports: from collections import OrderedDict
  from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
  import numpy
  import pandas
  from sklearn.linear_model import LinearRegression
  from darts.logging import get_logger, raise_if, raise_if_not, raise_log
  from darts.models.forecasting.forecasting_model import GlobalForecastingModel
  from darts.timeseries import TimeSeries
  from darts.utils.data.tabularization import add_static_covariates_to_lagged_data, create_lagged_component_names, create_lagged_training_data
  from darts.utils.historical_forecasts import _check_optimizable_historical_forecasts_global_models, _optimized_historical_forecasts_all_points, _optimized_historical_forecasts_last_points_only, _process_historical_forecast_input
  from darts.utils.multioutput import MultiOutputRegressor
  from darts.utils.utils import _check_quantiles, get_single_series, seq2series, series2seq
label_desc: Use image node_id 13 for calling the _LikelihoodMixin obj's underlying member method code with example usage: obj._params_normal(model_output) and returns: params_reshaped