stackabletech / stackabletech/demos

Demo Idea: Spark Random Forest

Open
#30 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
3
Forks
13
Avg merge
2d 20h
Merged PRs (30d)
2

Description

Since Cloudfest is full of AI we should adress this interest by demo how to feed AI data during training session.

Another thing I came up with is to use Kafka topics to stream request to e.g. ChatGPT and use Kafka as a buffer.

Contributor guide

No contributing guide indexed for this repository

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.

Research direction

The issue proposes a Spark Random Forest training demo and, alternatively, Kafka topics as a buffer for requests to ChatGPT. First clarify which demo is wanted, along with its training data, runtime context, and acceptance criteria. Done should mean a runnable demo with documented setup and usage.

Written by the indexing model from the issue text.

Assessment

Tech stack
kafka, spark
Domain
data-engineering, machine-learning, stream-processing
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.