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.
added feature source to create class labels which indicate if an entry has the specified pokemonId or not
This feature source allows us to create e.g. the Pidgey dataset #20 by simply specifying the isPokemonId_16 feature as classKey.
Furthermore, we can create a dataset for another Pokemon by changing the id 16 in the key, e.g. isPokemonId_87. Those modifications have only to be done in the config file.
The isPokemonId_* feature is disabled, as it should be only used as a class label.
added feature source to create class labels which indicate if an entry has the specified pokemonId or not
This feature source allows us to create e.g. the Pidgey dataset #20 by simply specifying the
isPokemonId_16feature as classKey. Furthermore, we can create a dataset for another Pokemon by changing the id 16 in the key, e.g.isPokemonId_87. Those modifications have only to be done in the config file.The
isPokemonId_*feature is disabled, as it should be only used as a class label.