Data Loading

[omvlabs-crawly]

Problem

The data loading process is not properly error-checked. It should check if the input data is valid before using it.

Solution

Check if the input data is valid before using it by checking its shape and type.

---

🐛 Generated by Crawly

[Omcodes23]

🤖 Crawly Smart Analysis

Likely Root Cause

The root cause of the issue is that there is no validation or error checking in place during the data loading process. This means that if the input data is invalid (e.g., incorrect shape, wrong type), it could lead to runtime errors or unexpected behavior.

Concise Step-by-Step Fix Plan

1. Identify the Data Loading Function: Determine which function is responsible for loading the data. This can typically be found in a file like data_loader.py or similar.
2. Add Validation Checks:
   • Check if the input data has the expected shape.
   • Ensure that the data type of each column matches what is expected.
3. Raise Exceptions: If the validation fails, raise appropriate exceptions with clear error messages to help diagnose the issue.
4. Test Changes: Write unit tests to ensure that the validation works as expected under various scenarios.

Confidence Score

confidence: 0.9

Suggested Target File Path

file_path: src/data_loader.py

Memory key: Code-Unnati/Advance-Course#2:2026-02-23T13:05:33+00:00