def deserialize_iforest(model_dict): model = IsolationForest(**model_dict['params']) for param in list(model_dict.keys())[4:-1]: setattr(model, param, model_dict[param]) model.base_estimator_ = ExtraTreeRegressor(**model_dict['base_estimator_']) estimators_features_ = list( map(lambda x: np.array(x), model_dict['estimators_features_'])) model.estimators_features_ = estimators_features_ _seeds = np.array(model_dict['_seeds']) model._seeds = _seeds new_estimators = [] for est_dict in model_dict['estimators_']: est = ExtraTreeRegressor(**est_dict['params']) for param in list(est_dict.keys())[1:-1]: setattr(est, param, est_dict[param]) est.tree_ = reg.deserialize_tree(est_dict['tree_'], est_dict['n_features_'], est.n_classes_[0], est_dict['n_outputs_']) new_estimators.append(est) model.estimators_ = new_estimators return model