void Start()
{
// Note: We're using the Bayes namespace up above ^^
// BayesDecider can handle 2 types of conditions
// Discrete and Continuous
// Discrete conditions are conditions with values that are 0-based and count up
// ie True/False or an enumeration (like the outlook in the Golf example)
// Discrete values are arbitrary (either 0 or 1 could be true),
// just be consistent, start it at 0, and don't skip numbers (ie 0,1,2,3...)
BayesDiscreteCondition outlook = new BayesDiscreteCondition( "Outlook", 3 );
BayesDiscreteCondition windy = new BayesDiscreteCondition( "Windy" );
// Continuous conditions are conditions with values that fall within a range
// The values themselves don't really matter, but I don't think it can handle negative
BayesContinuousCondition temp = new BayesContinuousCondition( "Temp" );
BayesContinuousCondition hum = new BayesContinuousCondition( "Humidity" );
// Here we assemble arrays of the discrete and continuous conditions to pass to the Decider
// The order for discrete/coninuous conditions MUST be the same as the order in the data file!
BayesDiscreteCondition[] discs = new BayesDiscreteCondition[ 2 ];
discs[ 0 ] = outlook;
discs[ 1 ] = windy;
BayesContinuousCondition[] conts = new BayesContinuousCondition[ 2 ];
conts[ 0 ] = temp;
conts[ 1 ] = hum;
// Here we create the decider,
// and tell it what file to use and the name of the outcome (for debug printing)
bd = new BayesDecider( "GolfTab.txt", "Play Golf" );
// Then we give it the conditions
bd.SetConditions( conts, discs );
bd.Tab2Screen(); // Prints out the table for reference
bd.BuildStats(); // Uses the data from the table to calculate values for conditions
// Take a look at the Golf data file (Assets/Data/GolfTab.txt) to see some of its quirks
// Discrete values are prefixed by "d" and continuous with a "c"
// The outcome starts with an "o"
// The first column in the data file is the outlook, with is an enum (0 = sunny, 1 = overcast, 2 = rainy)
// The second column is windy, which is boolean (0 = true, 1 = false)
// The third and fourth column are temperature and humidity which are continuous
// The final column is the outcome (play or not) which is boolean as well
// It's important to keep the order consistent and use the correct prefix or it will break!
}
// Use this for initialization
void Awake()
{
bd = new BayesDecider( "RepairTab.txt", "Repair Wall" );
}
void Start()
{
currObservation.outcome = -1;
BayesDiscreteCondition enemyInWay = new BayesDiscreteCondition( "No Enemy In Way" );
BayesDiscreteCondition enemiesAtGate = new BayesDiscreteCondition( "No Enemies At Gate" );
BayesContinuousCondition gateHealth = new BayesContinuousCondition( "Gate Health" );
BayesContinuousCondition distance = new BayesContinuousCondition( "Distance" );
BayesDiscreteCondition[] discs = new BayesDiscreteCondition[ 2 ];
discs[ 0 ] = enemyInWay;
discs[ 1 ] = enemiesAtGate;
BayesContinuousCondition[] conts = new BayesContinuousCondition[ 2 ];
conts[ 0 ] = gateHealth;
conts[ 1 ] = distance;
bd = new BayesDecider( "RepairTab.txt", "Repair Wall" );
bd.SetConditions( conts, discs );
bd.BuildStats();
}
void Start()
{
gate = GameObject.Find("Gate").GetComponent<Health>();
currObservation.outcome = -1;
BayesDiscreteCondition enemyInWay = new BayesDiscreteCondition( "No Enemy In Way" );
BayesDiscreteCondition enemiesAtGate = new BayesDiscreteCondition( "No Enemies At Gate" );
BayesContinuousCondition gateHealth = new BayesContinuousCondition( "Gate Health" );
BayesContinuousCondition distance = new BayesContinuousCondition( "Distance" );
BayesDiscreteCondition[] discs = new BayesDiscreteCondition[ 2 ];
discs[ 0 ] = enemyInWay;
discs[ 1 ] = enemiesAtGate;
BayesContinuousCondition[] conts = new BayesContinuousCondition[ 2 ];
conts[ 0 ] = gateHealth;
conts[ 1 ] = distance;
bd = GameObject.Find("BayesDecider").GetComponent<BayesDeciderRef>().getBayesDecider();
bd.SetConditions( conts, discs );
bd.BuildStats();
}