ium_s434700/predict/predict.py
2021-06-08 18:10:26 +02:00

16 lines
409 B
Python

import json
import mlflow
import pandas as pd
model = mlflow.keras.load_model("./prediction_data/movies_imdb")
with open('./prediction_data/movies_imdb/input_example.json', 'r') as datafile:
data = json.load(datafile)
example_input = data["inputs"]
input_dictionary = {i: x for i, x in enumerate(example_input)}
input_ex = pd.DataFrame(input_dictionary, index=[0])
print(model.predict(input_ex))