IUM_s464980/predict.py
2024-04-03 09:39:37 +02:00

16 lines
380 B
Python

import pandas as pd
from tensorflow import keras
import numpy as np
np.set_printoptions(threshold=np.inf)
data = pd.read_csv("df_test.csv")
X_test = data.drop("Performance Index", axis=1)
y_test = data["Performance Index"]
model = keras.models.load_model("model.keras")
predictions = model.predict(X_test)
with open("predictions.txt", "w") as f:
f.write(str(predictions))