mirror of
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21 lines
746 B
Plaintext
21 lines
746 B
Plaintext
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import os
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import pickle
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import numpy as np
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import pandas as pd
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import torch
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from model import fit, predict, select
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train_X = pd.DataFrame(np.random.randn(8, 30), columns=[f"{i}" for i in range(30)])
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train_y = pd.Series(np.random.randint(0, 2, 8))
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valid_X = pd.DataFrame(np.random.randn(8, 30), columns=[f"{i}" for i in range(30)])
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valid_y = pd.Series(np.random.randint(0, 2, 8))
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model = fit(train_X, train_y, valid_X, valid_y)
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execution_model_output = predict(model, valid_X)
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execution_feedback_str = f"Execution successful, output numpy ndarray shape: {execution_model_output.shape}"
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pickle.dump(execution_model_output, open("execution_model_output.pkl", "wb"))
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pickle.dump(execution_feedback_str, open("execution_feedback_str.pkl", "wb"))
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