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