def index(): # upon user request, lets call the twitter api, and see if the last time # is the one in the db (last time not including 24 hour summaries) # if its in the db, return that row, otherwise, build out the predictions # on the other hand, lets make predictions as a cron job every 60 minutes, # and just simply return the latest row to the user forest = rforest.forest(train=False) frcast = forecast.forecast(forest.X_train.columns, forest.rf) return json.jsonify(frcast.df)
def index():
forest = rforest.forest(train=False)
frcast = forecast.forecast(forest.X_train.columns, forest.rf)
# return flask.json.jsonify({'predictions':frcast.df})
return json.jsonify(frcast.df)
import rforest import forecast forest = rforest.forest(train=False) frcast = forecast.forecast(forest.X_train.columns, forest.rf)
