This repository has been archived by the owner on Oct 16, 2024. It is now read-only.

Use more realistic dataset in docs #198

Open

3 tasks

aguschin opened this issue Oct 24, 2022 · 1 comment

Labels

A: docs C: get-started

Contributor

aguschin commented Oct 24, 2022 •

edited

Loading

Iris dataset used in GS creates a feeling that MLEM is not ready to any serious tasks. Suggestion: use more realistic dataset.

@mnrozhkov suggested to use a dataset from this repo https://github.com/iterative/demo-bank-customer-churn

Update GS
Update and re-generate example-mlem-get-started repo with https://github.com/iterative/example-repos-dev, replacing iris with the above dataset
Update other parts of docs where we reference models/data in example-mlem-get-started (worth completing Test snippets (WIP) #195 beforehand?)

The text was updated successfully, but these errors were encountered:

aguschin added the A: docs label

aguschin mentioned this issue

GS: reorg / rewrite #58

Open

7 tasks

jorgeorpinel added the C: get-started label

omesser mentioned this issue

Applying/Using models - issues #213

Closed

4 tasks

Contributor

omesser commented Feb 20, 2023

Option: https://www.kaggle.com/competitions/paddy-disease-classification

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.