def GenerateModel(dictionary, id):
demand = ProcessData.ProcessData(dictionary)
Prediction.GenerateModel(dictionary, demand)
latestPrediction = Prediction.GetPrediction(dictionary, demand)
loadDict[id] = latestPrediction
with open("savedPredictions.txt", "a+") as outfile:
json.dump({"id": id, "predictions": latestPrediction}, outfile)
outfile.write("\n")
print("latestPrediction type: ", type(latestPrediction),
"\n latestPrediction: ", latestPrediction)
return "Model Generation completed."
def GetPrediction(dictionary):
return Prediction.GetPrediction(dictionary)
def TestML():
try:
assert (Prediction.GetPrediction("Bef Orchard Blvd-ML-1", 30.0, 10, 0))
except:
print("Test Machine Learning fail")