[BUG] Handling NaN Values in Time Series Data for Hybrid Model Prediction #176
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bug
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gssoc-ext
GSSoC'24 Extended Version
hacktoberfest
Hacktober Collaboration
hacktoberfest-accepted
Hacktoberfest 2024
level1
10 Points 🥇(GSSoC)
Has this bug been raised before?
Description
The model raises a ValueError indicating that the input for the target variable (y) contains NaN values.
![Screenshot 2024-10-23 204802](https://private-user-images.githubusercontent.com/161150398/379401162-c6c1094e-8700-41cc-bcbe-9499a4ac6e20.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MzkxNzg3NjUsIm5iZiI6MTczOTE3ODQ2NSwicGF0aCI6Ii8xNjExNTAzOTgvMzc5NDAxMTYyLWM2YzEwOTRlLTg3MDAtNDFjYy1iY2JlLTk0OTlhNGFjNmUyMC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjUwMjEwJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI1MDIxMFQwOTA3NDVaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0xMDAxNzAyZjA1YTgwYTM0OTc1MmZlMjkxZTI4NmIyNTU1ODQ5NGZkZDQ3NDAxZDkxMTY5OWZmYWU3NTZjNDE1JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.V8wsc0HJVQ1cdUGZfMdZM8wbHIFw71KJA4g71YSzfEM)
Steps to Reproduce
Include any relevant details like:
Screenshots
No response
Do you want to work on this issue?
Yes
If "yes" to the above, please explain how you would technically implement this.
I can check the NaN values and handle the missing values
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