A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
I'm confused about the relationship between the number of rows in a given data.h5 file and the number of values in the labeled_anomalies row for that file.
e.g. channel P-1 has 2872 rows but 'num_values' for this data 8502, 'num_train_values' is 2612, 'num_test_values' is '8245' and a TP sequence may be located for example in the range '(4520, 4589)'.
Does anyone know how Telemanom converts the rows into these sequences and how that would work exactly? Where would a sequence like '(4520, 4589)' occur in the P-1.npy file?
I'm confused about the relationship between the number of rows in a given data.h5 file and the number of values in the labeled_anomalies row for that file.
e.g. channel P-1 has 2872 rows but 'num_values' for this data 8502, 'num_train_values' is 2612, 'num_test_values' is '8245' and a TP sequence may be located for example in the range '(4520, 4589)'.
Does anyone know how Telemanom converts the rows into these sequences and how that would work exactly? Where would a sequence like '(4520, 4589)' occur in the P-1.npy file?