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SmartSifter (version 0.1.0)

LogLossOne: LogLossOne

Description

calculates the logarithmic loss after inputting one sample

Usage

LogLossOne(y, param, smart, const, initial)

Arguments

y
A one-row matrix, the new sample to be input.
param
A logical scalar, if TRUE, the model is in parametric version, otherwise, a non-parametric one.
smart
A matrix, stores all the parameters over the continuous domain.
const
A numeric vector, specifies the value of all global variables, if param = T, then const = c(N,n,d,rh,r,K,alpha); if param=FALSE, then const = c(N,n,d,rh,r,K,sigma_sqare).
initial
A numeric vector, specifies the initial value of parameters over the continuous domain, if param = T, initial = c(pi_1,mean_1,cov_1, ..., pi_K, mean_K,cov_K), if param = F, initial = c(q1,q2, ..., qK).

Value

The logarithmic loss after inputting one sample y.