class_docstr: Fit and predict one or more estimators on one or more datasets.
class_docstr_tok: ["Fit","and","predict","one","or","more","estimators","on","one","or","more","datasets","."]
docstr: Predict from saved fitted strategies.
docstr_tok: ["Predict","from","saved","fitted","strategies","."]
code: def predict(
      self,
      overwrite_predictions=False,
      predict_on_train=False,
      verbose=False,
  ):
      """Predict from saved fitted strategies."""
      raise NotImplementedError(
          "Predicting from saved fitted strategies is not implemented yet"
      )
  
file_path: sktime/sktime/benchmarking/orchestration.py
imports: import logging
  import pandas
  from sklearn.base import clone
  from sktime.benchmarking.tasks import TSCTask, TSRTask
label_desc: Use image node_id 4 for calling the Orchestrator obj's underlying member method code with example usage: obj.predict(overwrite_predictions, predict_on_train, verbose) without return types