This function initializes the ocpd object. It returns an ocpd object with no data, but matrixes and vectors set up to begin adding to throughout the running of the algorithm.
methods
initOCPD(dims, init_params = list(list(m =0, k =0.01, a =0.01, b =1e-04)), initProb = c(gaussian_init))
Arguments
dims: The dimensions calculated from the first input data points.
init_params: The list of params required to initialize the underlying distribution model.
initProb: The chosen type of underlying distribution.
Returns
oCPD object initialized with initialization settings.
Examples
empty_ocpd<- initOCPD(1)# initialize bject with 1 dimensions