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
