Demonstration 1 Loading a File and Running a CSV Test Data Set - adam-nnl/Erudite GitHub Wiki

For this demonstration we will use an already trained neural network to predict NFL football games. This is part of the AFootball sub-project.

  1. Go into your Erudite-v1.1.0-Full_Suite folder and launch β€˜Erudite-v1.1.0.jarβ€˜

  2. After the program loads click the β€˜Browseβ€¦β€˜ button in the β€˜File Settingsβ€˜ section

  3. Navigate into the β€˜AFootballβ€˜ directory and then into the β€˜ANNeML Filesβ€˜ sub-directory

  4. select/open β€˜AFNNET_ANNeML_logsig_6H1Lv2-rand-TRAINED.xmlβ€˜

  5. Go to β€˜Input Settingsβ€˜ section and click the β€˜Import Batchβ€˜ button

  6. Navigate into the β€˜AFootballβ€˜ directory and select/open β€˜nfl_weeklystats_week7.csvβ€˜ or download and use the NFL week 8 stats

  7. Click the β€˜Run NNetβ€˜ button, all of the data sets(games) will be processed through the neural network and the resulting outputs will print out. Outputs of approximately one(1.00-0.70) represents a win and outputs of approximately zero(0.30-0.00) represent a loss

Further info about predicting NFL games with the AFootball project can be found here or here


Continue to demo 2a