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Title: Modernize code with sklearn pipelines and NumPy vectorization by roshanData · Pull Request #21 · adobe/stringlifier · GitHub

Open Graph Title: Modernize code with sklearn pipelines and NumPy vectorization by roshanData · Pull Request #21 · adobe/stringlifier

X Title: Modernize code with sklearn pipelines and NumPy vectorization by roshanData · Pull Request #21 · adobe/stringlifier

Description: Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data. - Modernize code with sklearn pipelines and NumPy vectorization by roshanData · Pull Request #21 · adobe/stringlifier

Open Graph Description: This PR modernizes the codebase with: Scikit-learn pipelines for data processing NumPy vectorization for token extraction Improved code organization with OOP principles Comprehensive docstrings an...

X Description: This PR modernizes the codebase with: Scikit-learn pipelines for data processing NumPy vectorization for token extraction Improved code organization with OOP principles Comprehensive docstrings an...

Opengraph URL: https://github.com/adobe/stringlifier/pull/21

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