oss-slu/ml_code_generator

Avoid duplicated generated code when splitting dataset

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#50 opened on Oct 9, 2022

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Description

When a user executes the Split Data feature more than once, the code generation repeats the X.sample and X.drop lines. This behavior might not be desired in the final Python code.

Possible solutions:

  1. Implement an application state to check if code was generated with the split method already.
  2. Implement a find and update method at the CodeBlock class.
  3. Simply clear the CodeBlock state after each code generation.

Example: Captura de Tela 2022-10-09 às 01 17 02

Contributor guide

Research direction
Explore the code generation flow for the Split Data feature. Examine the CodeBlock class and how code snippets are stored and printed. Trace the path from user action to generated code to see where duplication occurs. Identify what information is available about previously generated code.
Tech stack
python
Domain
backendmachine learning
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
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.
Clear
Prerequisites
GitPython
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75