class_docstr: Base results class.
class_docstr_tok: ["Base","results","class","."]
docstr: Load fitted strategies for all datasets and strategies iteratively.
docstr_tok: ["Load","fitted","strategies","for","all","datasets","and","strategies","iteratively","."]
code: def load_fitted_strategy(self, strategy_name, dataset_name, cv_fold):
      """Load fitted strategies for all datasets and strategies iteratively."""
      raise NotImplementedError()
  
imports: import os
  from abc import ABC, abstractmethod
  from warnings import warn
  import numpy
  from joblib import dump, load
label_desc: Use image node_id 6 for calling the BaseResults obj's underlying member method code with example usage: obj.load_fitted_strategy(strategy_name, dataset_name, cv_fold) without return types