ffm-weight-server

A better way looking into detail of libffm weights

When running ffm, many have issues weighting how samples influence their model. A better approach is to look into detail of weights. This Project is to print libffm weight through json format. You can get json through http post request.

Install

1. install httpcpp refer to https://github.com/panuph/httpcpp
2. make
3. run ./weight-server port

Specification

1. Prepare libffm model, and put your trained to Directory: data/training.model
2. Send post request (e.g. curl http://serverip:port -d "0 0:15:1 1:47:1 2:2:1 2:2104:1 2:2105:1 2:2115:1 3:132570:1 3:132571:1 3:70143:1 4:485:1 5:9:1 5:2110:1 5:66463:1 5:132501:1 6:576776:1 6:576777:1 7:143123:1")
3. You are suppose to get the json answer. For example:

{
     "vivj_info":    [{
             "i_idx":    15,
             "i_field":  0,
             "i_val":    1,
             "j_idx":    47,
             "j_field":  1,
             "j_val":    1,
             "weight":   -1.003816
         }, {
             "i_idx":    15,
             "i_field":  0,
             "i_val":    1,
             "j_idx":    2,
             "j_field":  2,
             "j_val":    1,
             "weight":   -1.064474
         }, {
             "i_idx":    15,
             "i_field":  0,
             "i_val":    1,
             "j_idx":    2104,
             "j_field":  2,
             "j_val":    1,
             "weight":   -1.136909
         }, {
             "i_idx":    15,
             "i_field":  0,
             "i_val":    1,
		...  ...

import DETAIL

1. import source libffm code from https://github/guestwalk/libffm
2. import server code from https://github.com/panuph/httpcpp
3. import cJson parser from Dave Gamble