def deserialize_dbscan_clustering(model_dict):
model = DBSCAN(**model_dict["params"])
model.components_ = np.array(model_dict["components_"])
model.labels_ = np.array(model_dict["labels_"])
model.core_sample_indices_ = model_dict["core_sample_indices_"]
model.n_features_in_ = model_dict["n_features_in_"]
model._estimator_type = model_dict["_estimator_type"]
return model
def deserialize_dbscan_clustering(model_dict):
model = DBSCAN(**model_dict['params'])
#model.eps = model_dict['params']['eps']
model.components_ = np.array(model_dict['components_'])
model.labels_ = np.array(model_dict['labels_'])
model.core_sample_indices_ = model_dict['core_sample_indices_']
model.n_features_in_ = model_dict['n_features_in_']
model._estimator_type = model_dict['_estimator_type']
return model