Kaggle/docker-python

Keras Issue for TensorFlow Hub model

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#1367 opened on Mar 3, 2024

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 (1 comment) (0 reactions) (0 assignees)Python (2,260 stars) (946 forks)batch import
bughelp wanted

Description

🐛 Bug

The environment has a bug that leads to mislabeling class instances in the TensorFlow Hub USE model. See this issue for details: https://github.com/tensorflow/tensorflow/issues/63085#issuecomment-1973958066

Contributor guide

Tech stack
pythondocker
Domain
machine learningdevops
Issue type
bug
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.
half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
TensorFlow basicsDocker usageKaggle environment
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50
Research direction
Investigate the referenced TensorFlow issue #63085 to understand the mislabeling bug. Check the Dockerfile and configuration files in the Kaggle/docker python repository for potential mismatches in TensorFlow Hub model parameters. Look for related environment variables or package versions that might cause the issue.