question-mark
Stuck on an issue?

Lightrun Answers was designed to reduce the constant googling that comes with debugging 3rd party libraries. It collects links to all the places you might be looking at while hunting down a tough bug.

And, if you’re still stuck at the end, we’re happy to hop on a call to see how we can help out.

I noticed some inconsistencies in feature naming… Before we push out a release, we should resolve.

A few questions: ltr.feature and ltr.feature.base was mostly legacy… do we still need sub-packages?

Strictly speaking, Java conventions want Bm25 as opposed to BM25, but I’m fine with the latter. However, it also means we should have IDFStat and TFIDFStat right? And TFIDFStat should just be TFIDF? Or else you should have BM25Stat to be consistent?

Point is, let’s go through the feature names and make sure we’re happy with them?

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:7 (7 by maintainers)

github_iconTop GitHub Comments

1reaction
stephaniewhoocommented, Mar 30, 2021

I noticed some inconsistencies in feature naming… Before we push out a release, we should resolve.

A few questions: ltr.feature and ltr.feature.base was mostly legacy… do we still need sub-packages?

Strictly speaking, Java conventions want Bm25 as opposed to BM25, but I’m fine with the latter. However, it also means we should have IDFStat and TFIDFStat right? And TFIDFStat should just be TFIDF? Or else you should have BM25Stat to be consistent?

Point is, let’s go through the feature names and make sure we’re happy with them?

we use TFIDFStat because we apply diff poolers to TFIDF. We name everything we apply different poolers with -Stat?

0reactions
lintoolcommented, Apr 5, 2021

Closed by #1496

Read more comments on GitHub >

github_iconTop Results From Across the Web

Working with Features - Elasticsearch Learning to Rank
Feature sets perhaps ought to be really called “lists.” Each feature has an ordinal (its place in the list) in addition to a...
Read more >
Learning To Rank | Apache Solr Reference Guide 7.7
Feature. A feature is a value, a number, that represents some quantity or quality of the document being scored or of the query...
Read more >
From Zero to Learning to Rank in Apache Solr - GitHub
Standard features in modern LTR models include using multiple similarity measures (e.g., cosine similarity of tf-idf vectors or BM25) to compare multiple text ......
Read more >
Solr Is Learning To Rank Better – Part 3 – Ltr tools - Sease
This is how the Learning To Rank tools project [1] was born ( LTR stands for ... A file containing a mapping between...
Read more >
How You Can Use Hello LTR - The Learning to Rank Sandbox
Logging feature values is one of the most complex engineering aspects of building a Learning to Rank system. In Hello LTR, we have...
Read more >

github_iconTop Related Medium Post

No results found

github_iconTop Related StackOverflow Question

No results found

github_iconTroubleshoot Live Code

Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start Free

github_iconTop Related Reddit Thread

No results found

github_iconTop Related Hackernoon Post

No results found

github_iconTop Related Tweet

No results found

github_iconTop Related Dev.to Post

No results found

github_iconTop Related Hashnode Post

No results found