In importbq/bis557: Package for BIS557

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(bis557)

Homework 1

This package is built based upon Bis 557 Homework. You will find two functions in this package. One is called linear_model and the other one is called gradient_descent.

Both functions are stored in the function.R file.

Linear_model function takes a formula,a dataset and a list of contrasts as input. It calculates the best estimate for the coefficients and output them in a list.

Gradient_descent function takes a feature vector X, a label vector y, learning rate lambda and the number of iterations you want to perform GD. It calculates the best weighting for feature vector X that minimize squared losses.

importbq/bis557 documentation built on Dec. 21, 2020, 3:05 a.m.