docstr: AimLogger for Prophet models.
  Prophet doesn't have a callback system and isn't trained iteratively.
  Thus, only the hyperparameters and user-provided metrics are logged.
code: def __init__(
      self,
      prophet_model: Prophet,
      repo: Optional[str] = None,
      experiment: Optional[str] = None,
      system_tracking_interval: Optional[
          int
      ] = DEFAULT_SYSTEM_TRACKING_INT,
      log_system_params: Optional[bool] = True,
      capture_terminal_logs: Optional[bool] = True,
  ):
      """
      AimLogger for Prophet models.
      Prophet doesn't have a callback system and isn't trained iteratively.
      Thus, only the hyperparameters and user-provided metrics are logged.
      """
      self._repo_path = repo
      self._experiment = experiment
      self._system_tracking_interval = system_tracking_interval
      self._log_system_params = log_system_params
      self._capture_terminal_logs = capture_terminal_logs
      self._run = None
      self._run_hash = None
      self.setup(prophet_model.__dict__)
  
file_path: aim/aim/sdk/adapters/prophet.py
imports: from typing import Any, Dict, Optional, TypeVar
  from aim import Run
  from aim.ext.resource import DEFAULT_SYSTEM_TRACKING_INT
  from aim.storage.types import AimObject
label_desc: Use image node_id 1 to create a new AimLogger object  with example: obj = AimLogger(prophet_model, repo, experiment, system_tracking_interval, log_system_params, capture_terminal_logs)