trying out linear regression from scratch

linear.jl

mutable struct LinearRegression
    inputs::Any
    targets::Any
    params::Any
end

function LinearRegression(a::Any, b::Any)
    params = zeros(size(a, 2), 1)
    err = []
    for i=1:size(a, 1)
        push!(err, (a*params)[i] - b[i])
        println(err[i])
    end

    for i=1:2000
        for j=1:size(a, 2)
            params[j] = params[j] - (2*0.01*(transpose(a[:,j])*err)/size(a, 1))[1]
        end
        err = []
        for i=1:size(a, 1)
            push!(err, (transpose(a[1,:])*params)[1] - b[i])
        end
        println("Current loss is $(sum(err.^2))")
    end
    return LinearRegression(a, b, params)
end