PokemonGoers / PredictPokemon-2

In this project we will apply machine learning to establish the TLN (Time, Location and Name - that is where pokemons will appear, at what date and time, and which Pokemon will it be) prediction in Pokemon Go.
Apache License 2.0
9 stars 3 forks source link

Generate arff file from dummy data #4

Closed bensLine closed 8 years ago

bensLine commented 8 years ago

@marwage I added you as assignee since your implementation is more advanced than mine. However, for the arff file I'd suggest to use the Pokemon id as class label and to combine all dummy.json files into one arff file, so that we have a bigger data set to train the classifier with. (I know in JS we can combine them but for Weka one file is be better)

goldbergtatyana commented 8 years ago

waiting to see the arff file 😉

bensLine commented 8 years ago

Hey @goldbergtatyana, I posted an arff already several days ago https://github.com/PokemonGoers/PredictPokemon-2/blob/feature/test_data/test_data/pokeDummyData.arff see comment

Anyway, we'll add one to develop during this day.