I am trying to use a unsupervised LSTM to detect anomaly in the data. The idea is if the reconstruction differs too much, it should categorise it as anomalous. My dataset is [‘Day’, ‘Result]. The train dataset would have all non-anomalous data and the test dataset would have some anomalous data points.