mlproject's Issues
bivariate analysis issue
the issue groupedby is not implemented completely . pls look at the issue.
#About Wrong Assignment in Application.py file
In function def predict_datapoint():
while requesting data from webpage "reading_score" is assigned to "writing_score" and vice-versa.
Inconsistencies and small errors
xgboosterror
XGBoostError:
XGBoost Library (xgboost.dll) could not be loaded.
Likely causes:
-
OpenMP runtime is not installed
- vcomp140.dll or libgomp-1.dll for Windows
- libomp.dylib for Mac OSX
- libgomp.so for Linux and other UNIX-like OSes
Mac OSX users: Runbrew install libomp
to install OpenMP runtime.
-
You are running 32-bit Python on a 64-bit OS
Error message(s): ['[WinError 8] Not enough memory resources are available to process this command']
I get the above error in the Model.ipynb file. Can anyone help with this? I have 64-bit python machine running. I have the vcomp140.dll and libgomp-1.dll in the System32 folder.
requirements.txt
in requirement.txt. is it Flask or flask. or it doesn't matter?
Module Not Found Error
After running the src/components/data_ingestion.py , It gives ModuleNotFoundError : no module name 'src' , have tried every fix from bard , maily :
- import os
os.environ['PYTHONPATH'] = os.path.dirname(file) + '/src'
from src.exception import CustomException
2.import shutil
shutil.move('src', 'my_project/src')
from my_project.src.exception import CustomException
but haven't got it resolved.
Also , I am using miniconda env .
Can anyone let me know how to fix it ?
About mlproject.eeg-info
Hello Krish, hope you are doing well.
I just followed your tutorial and tried to implement the code along with you. But I have faced some issue regarding
pip install -r requirements.txt
When you ran that, in your editor a file name mlproject.eeg-info appeared. But when I ran that, (after correcting the spelling mistake) no files created! and a bug is showing. That is in the last two lines of setup.py it is saying that syntex error. I am looking for your suggestions. Even I copied your code and still no improvement.
Saved model.pkl file is not trained
Sir, I want to point out one significant point about the saved model.pkl file.
In the utils.py file, we never returned the best model object itself, just the score.
Line 50 in 6d24fc7
And then in model_trainer.py we sort the best max score and then initialize a totally new model based on the name of the highest score model. And in the save_object we are actually saving the newly initialized model which is untrained.
mlproject/src/components/model_trainer.py
Line 98 in 6d24fc7
What's strange is how it gave a prediction.
Mine didn't and I had to edit the code.
https://github.com/svkadhikary/student_perfomance/blob/45ba9818eb3ab7fb681da7c70d425ed0c70fc0a0/src/utils.py#L66
https://github.com/svkadhikary/student_perfomance/blob/45ba9818eb3ab7fb681da7c70d425ed0c70fc0a0/src/components/model_trainer.py#L100
but where is part 2?
great video
but where is part 2?
End To End Data Science Project Implementation In One Shot- Part 1
Update compatible package versions during MODEL TRAINING.ipynb
numpy==1.26.4
pandas==2.1.2
seaborn
matplotlib
scikit-learn
catboost
xgboost==2.1.0
Flask
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