#32 solved #38
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#32 solved #38
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Resolved the issue where importing XGBClassifier from xgboost was causing an ImportError due to a circular import in the project. This occurred because the script was named xgboost.py, conflicting with the external xgboost library. Solution: Renamed the script to avoid naming conflicts with the xgboost library. Updated the code to align with Python 3 standards, addressing deprecated methods and outdated syntax. Changes: Renamed the script to avoid the ImportError caused by a naming conflict with xgboost. Replaced the use of xrange() with range() to ensure Python 3 compatibility. Updated print statements to Python 3 format for cleaner output. Modified the XGBClassifier initialization from silent to verbosity in line with the current version of XGBoost. Applied minor adjustments for TF-IDF feature extraction to improve performance and code clarity. This resolves the issue and ensures the code runs smoothly across Python 3.x environments.
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Resolved the issue where importing XGBClassifier from xgboost was causing an ImportError due to a circular import in the project. This occurred because the script was named xgboost.py, conflicting with the external xgboost library.
Solution:
Renamed the script to avoid naming conflicts with the xgboost library. Updated the code to align with Python 3 standards, addressing deprecated methods and outdated syntax. Changes:
Renamed the script to avoid the ImportError caused by a naming conflict with xgboost. Replaced the use of xrange() with range() to ensure Python 3 compatibility. Updated print statements to Python 3 format for cleaner output. Modified the XGBClassifier initialization from silent to verbosity in line with the current version of XGBoost. Applied minor adjustments for TF-IDF feature extraction to improve performance and code clarity. This resolves the issue and ensures the code runs smoothly across Python 3.x environments.