class_docstr: Base class for all anomaly scorers
docstr: Whether the scorer expects a probabilistic prediction for its first input.
docstr_tok: ["Whether","the","scorer","expects","a","probabilistic","prediction","for","its","first","input","."]
code: def is_probabilistic(self) -> bool:
      """Whether the scorer expects a probabilistic prediction for its first input."""
      return False
  
imports: from abc import ABC, abstractmethod
  from typing import Any, Sequence, Union
  import numpy
  from darts import TimeSeries
  from darts.ad.utils import _assert_same_length, _assert_timeseries, _intersect, _sanity_check_two_series, _to_list, eval_accuracy_from_scores, show_anomalies_from_scores
  from darts.logging import get_logger, raise_if_not
label_desc: Use image node_id 4 for calling the AnomalyScorer obj's underlying member method code with example usage: obj.is_probabilistic() and returns: False