StatComp21088-package: Achieve the Three kinds of gradient descent algorithm
In Sakoylf/StatComp21088: Mini-batch Gradient Descent

This package is developed to developed to achieve three kinds of gradient descent algorithm.Include Batch Gradient Descent,Stochastic Gradient Descent,Mini-batch gradient descent algorithm.And it will record the loss function value of the model after every iteration.

Use train functions to train the model and get the result and the recorded cost.

Haifeng Chen

Maintainer: Haifeng Chen <cfhai@email.ustc.edu.cn>

  ## Not run: 
    x <- seq(0.1,10,0.01)
    n <- length(x)
    z <- rnorm(n)
    y <- 2*x+5+z
    theta <- train_MBGD(x,y,500,200,0.01,c(1,1))$theta
    print(theta)
    cost <- train_MBGD(x,y,500,200,0.01,c(1,1))$cost
    print(cost)
  
## End(Not run)