def retrieve_sv_features():
'''
This router function retrieves the generalized features properties that can
be expected for any given observation within the supplied dataset.
@label_list, this value will be a json object, since it was originally
cached into redis using 'json.dumps'.
'''
# get model type
selected_collection = request.get_json()['selected-collection']
model_type = ModelType().get_model_type(selected_collection)['result']
# return all feature labels
if request.method == 'POST':
label_list = Hset().uncache(
model_type + '_feature_labels',
selected_collection
)
if label_list['result']:
return json.dumps(label_list['result'])
else:
return json.dumps({'error': label_list['error']})
def predict(self):
'''
This method generates a prediction with respect to the implemented
model, using the provided prediction feature input(s), and the stored
corresponding model, within the NoSQL datastore.
'''
# get model type
model_type = ModelType().get_model_type(self.model_id)['result']
return predict(model_type, self.model_id, self.predictors)