online-ml/river

Implement dataframe interchange API

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#1,428 opened on Nov 1, 2023

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 (0 comments) (0 reactions) (0 assignees)Python (4,574 stars) (553 forks)batch import
EnhancementGood first issue

Description

  • See this
  • This way we can make all of our mini-batch code works with all kinds of dataframes

Contributor guide

Tech stack
pythonpandas
Domain
databackend
Issue type
feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
mostly clear
Prerequisites
Pythonpandasdataframe interchange protocol concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45
Research direction
Review the dataframe interchange protocol specification at https://data apis.org/dataframe protocol/latest/index.html. Identify how river's current mini batch code handles dataframes and where integration points exist. Look for existing Python implementations of the protocol in libraries like Ibis or cuDF for reference. Propose a design that allows river to accept any dataframe implementing the protocol, focusing on the mini batch operations.
Implement dataframe interchange API · online-ml/river#1428 | Good First Issue