Cloud not load xgboost model into spring boot service

Open
  • Is something wrong?
#785 4 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
4/5
Estimated time
3-5 days
Newbie friendliness
30/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
docker, spark, spring-boot
Domain
backend, devops, machine-learning

Research direction

Start by inspecting the mleap-spring-boot integration and its dependency setup, then compare it with the released mleap-xgboost-runtime. Check how the Docker image is assembled and verify that an xgboost-spark pipeline bundle can load in the Spring Boot service. Done means one supported integration path is documented and the model loads successfully.

Written by the indexing model from the issue text.

Description

hi,
I have serialized a xgboost-spark pipeline model in bundle format, but I could not load it into spring boot service because of "xgboost.classifier" op is not supported. I found that mleap-xgboost-runtime is released now. It seems loading xgboost-spark pipeline should be accessible. Would you help me about how to add dependency of mleap-xgboost-runtime into mleap-spring-boot ? Or update the docker with xgboost model support?

Dominant language
Scala
Stars
1.5k
Forks
313
Avg merge
22m
Merged PRs (30d)
1

Getting set up

Open in Codespaces

Starts the project's dev container in your browser, under your own GitHub account.

  • No Dockerfile or Docker Compose file
  • No pull request template
  • No contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from combust/mleap

All issues in combust/mleap

Similar issues

More Scala issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.