Commit ab76d73f authored by cif2cif's avatar cif2cif
Browse files

Errata corregida

parent 4fa1f1b4
......@@ -22,5 +22,5 @@ $ python conv1d_autoencoder.py
Once the system is executed, it generates the file `predicted_labels.csv`. It contains the labels that classify every entry of the DataFrame into attack (1) or normal behaviour (0).
The file has 2970 rows. Every entry corresponds to the result during the 15 minutes slot.
The result of the simulation was the file P_out for every house. This filehas 44.640 values, since the simulator generates data every minute for a month (60 minutes * 24 hours * 31 days).
The result of the simulation was the file P_out for every house. This file has 44.640 values, since the simulator generates data every minute for a month (60 minutes * 24 hours * 31 days).
Then the preprocessing module created a dataframe (d_15) with a window of 15 minutes (44640 / 15 = 2970).
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