Looking to write a function f which takes a weighted graph g and returns values with are distance based

Kind help please your help will be acknowleged

Try_code_based_with_distance.pdf

Please kind help

Looking for simple code

 I am looking to program to create a function which can take a weighted Graph G and output me a array of computed values as an list 

I have around 15 values to be found 

say a function

Compute(graph::g)

I am mainly look for a simple way to code all these in fewer number of lines kind help in that

I attach a PDF file on what i require     Trying_to_code_1.pdf

Kind help

The main ideas i need are

1) How to do sum over edges of a graph G in a simple line of code

2) How to Product sum  over edges of a graph G in a simple line of code

Each one of your help will be greatly apprieciated Please kind help and it will be acknowleged too

Convert undirected graph unweighted graph to a weighted graph even though all the weights are 1

as i want to check how my function works on weighted graph as I know it works unweighted

Can someone give me an example for using

linear regressor function from deep learning package

By passing one dependent variable say Y

And a set of independent variables say X

As a matrix say 

Can we be able to split data into train and test and use this linear regressor command on train and do validation

As I am not able to see some examples on the implementations using command kind help 

Hope the resolution of the images which come via Plot3d and plot commands are atleast 300 dpi

If not how to make them