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Anomaly detection on time series stock price data using autoencoders
I have run the code in the Anomaly_detection_in_stockpricedata.py, but something wrong happened.I don't know how to fix it due to i'm a beginner,could you please tell me how to solve this problem?
ValueError: Expected 2D array, got 1D array instead:
array=[1.74866959 1.73545175 1.74322702 ... 0.46299787 0.43388762 0.43146177].
Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample.
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