Thanks Doug, this is very helpful. On Wed, Jun 17, 2020 at 1:11 PM Doug Turnbull < dturnb...@opensourceconnections.com> wrote:
> There are several scripts for doing this. > > I might encourage you to checkout our Hello LTR library of notebooks, which > has a ranklib training driver, and helpers to log training data, train a > model w/ Ranklib, and search with it. I am using this code for my LTR > contributions AI Powered Search > > http://github.com/o19s/hello-ltr > > But if you just care about the conversion, check out this code. It's > adapted / inspired by code written by Christine Poerschke with her Ltr For > Bees demo / talk > > https://github.com/o19s/hello-ltr/blob/master/ltr/helpers/convert.py > > Best > -Doug > > > > > On Wed, Jun 17, 2020 at 12:46 PM gnandre <arnoldbron...@gmail.com> wrote: > > > Hi, > > > > Before I start writing my own implementation for converting RankLib's > model > > output format to Solr LTR model format for my own use cases, I just > wanted > > to check if there is any work done on this front already. Any references > > are welcome. > > > > > -- > *Doug Turnbull **| CTO* | OpenSource Connections > <http://opensourceconnections.com>, LLC | 240.476.9983 > Author: Relevant Search <http://manning.com/turnbull>; Contributor: *AI > Powered Search <http://aipoweredsearch.com>* > This e-mail and all contents, including attachments, is considered to be > Company Confidential unless explicitly stated otherwise, regardless > of whether attachments are marked as such. >
