sktime · fkiraly · Mar 14, 2023 · Mar 13, 2023 · Mar 13, 2023 · Mar 13, 2023
@@ -38,7 +38,7 @@ Add any other context about the problem here.
 
 <!--
 Please run the following code snippet and paste the output here:
- 
+
 from sktime import show_versions; show_versions()
 -->
 

@@ -2,7 +2,7 @@
 #
 #The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of enery consumption when the appliance is active.
 #
-#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED). 
+#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
 #
 #Train size: 100
 #

@@ -2,7 +2,7 @@
 #
 #The dataset is compiled from ACS-F1, the first version of the database of appliance consumption signatures. The dataset contains the power consumption of typical appliances. The recordings are characterized by long idle periods and some high bursts of enery consumption when the appliance is active.
 #
-#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED). 
+#The classes correspond to 10 categories of home appliances: mobile phones (via chargers), coffee machines, computer stations (including monitor), fridges and freezers, Hi-Fi systems (CD players), lamp (CFL), laptops (via chargers), microwave ovens, printers, and televisions (LCD or LED).
 #
 #Train size: 100
 #

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@@ -29,7 +29,6 @@
 import numpy as np
 import pandas as pd
 
-
 #########################################################
 # methods to infer the machine type subject to a scitype
 #########################################################