Datasets:
Tasks:
Tabular Classification
Sub-tasks:
tabular-single-column-regression
Size Categories:
100K<n<1M
Language Creators:
expert-generated
License:
| RSSI_6AP_Experiments: Database Folder | |
| + Nexus 4 | |
| * The original database: "UpdatedDatabase_24Jan2018_Full.csv" | |
| * The general format for csv data file is: X & Y & The list of RSSI | |
| X | Y | RSSI Vector | |
| * For RNN Training | |
| ***************************************** | |
| **** Input LSTM ************************* | |
| ***************************************** | |
| File : Input_Location_RSSI_10points_365k | |
| Description: + 365000 random trajectories | |
| + Each trajectory has 9 history locations | |
| (Use 9 history locations to predict the 10th one) | |
| + Each location has 13 features: X,Y & 11 RSSI readings | |
| Structure: 117 features (117 columns) | |
| X1 | Y1 | 11 RSSI of Location 2 .... X9 | Y9 | 11 RSSI of Location 10 | |
| ***************************************** | |
| **** Output LSTM ************************* | |
| ***************************************** | |
| File : Output_Location_RSSI_10points_365k | |
| Description: + 365000 random trajectories | |
| + 9 locations corresponding to the locations in the input | |
| Structure: | |
| X2 | Y2 | X3 | Y3 ... X10 | Y10 | |
| + Nexus 5 | |