class_docstr: Abstract base strategy class.
  
  Implements attributes and operations shared by all strategies, including input and
  compatibility checks between passed estimator, data and task.
docstr: Load saved strategy.
  
  Parameters
  ----------
  path: String
      location on disk where the strategy was saved
  
  Returns
  -------
  strategy:
      sktime strategy
docstr_tok: ["Load","saved","strategy",".","Parameters","--","--","--","--","--","path",":","String","location","on","disk","where","the","strategy","was","saved","Returns","--","--","--","-","strategy",":","sktime","strategy"]
code: def load(self, path):
      """Load saved strategy.
  
      Parameters
      ----------
      path: String
          location on disk where the strategy was saved
  
      Returns
      -------
      strategy:
          sktime strategy
      """
      return load(path)
  
imports: import pandas
  from joblib import dump, load
  from sklearn.base import ClassifierMixin, RegressorMixin
  from sklearn.model_selection import GridSearchCV, RandomizedSearchCV
  from sklearn.pipeline import Pipeline
  from sktime.base import BaseEstimator
  from sktime.classification.base import BaseClassifier
  from sktime.forecasting.base._sktime import BaseForecaster
  from sktime.regression.base import BaseRegressor
label_desc: Use image node_id 10 for calling the BaseStrategy obj's underlying member method code with example usage: obj.load(path) and returns: load