22 lines
751 B
Python
22 lines
751 B
Python
from BitcoinPricePredictor import BitcoinPricePredictor
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from tensorflow.keras.models import load_model
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from sklearn.metrics import confusion_matrix
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if __name__ == "__main__":
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model = load_model('models/model_2025-01-21_04-49-43.h5')
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predictor = BitcoinPricePredictor(model=model, db_path='bitcoin_historical_data.db')
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missing_data = predictor.load_new_data_from_model()
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print(f"missing data {len(missing_data)}")
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if not missing_data.empty:
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predictions, reality = predictor.make_predictions_w_reality(missing_data)
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print(f"predictions {len(predictions)}")
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cm = confusion_matrix(reality, predictions[1:])
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print("Confusion Matrix:")
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print(cm)
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else:
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print("No new data found.")
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