Demo Idea: Spark Random Forest

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Assessment

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

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.

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.

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

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