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","."]
code: def _quantiles_generate_components_names(
      self, input_series: TimeSeries
  ) -> List[str]:
      return self._likelihood_generate_components_names(
          input_series,
          [
              f"q{quantile:.2f}"
              for quantile in self._model_container.keys()
          ],
      )
  
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 19 for calling the _LikelihoodMixin obj's underlying member method code with example usage: obj._quantiles_generate_components_names(input_series) and returns: self