gnb_8.kt

// A Gaussian Distribution which will be constructed for every feature, given the mean and standard deviation.
class GaussianDistribution( var mean : Float , var stdDev : Float ) {

    private val p = 1f / ( sqrt( 2.0 * Math.PI ) ).toFloat()

    // Get the likelihood for given x.
    fun getProb( x : Float ) : Float {
        val exp = exp( -0.5 * ((x - mean) / stdDev ).pow( 2 ) ).toFloat()
        return ( 1 / stdDev ) * p * exp
    }

    // Get the log of the likelihood for given x.
    fun getLogProb( x : Float ) : Float {
        return log10( getProb( x ) )
    }

}