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varunlakshmanan authored Jun 13, 2020
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## What is Glass-ML?
Glass is the **Generalizable**, **Loss-minimizing**, **Automated** **Sklearn** **System** for **Machine Learning**. Glass is a template for quickly building and deploying a high-performance model ensemble on tabular and numerical data. It returns the best possible fitted model ensemble out of every possible combination of estimators whose parameters have been hyperoptimized. Ordinarily, machine learning requires five core steps:
Glass-ML is the **Generalizable**, **Loss-minimizing**, **Automated** **Sklearn** **System** for **Machine Learning**. Glass is a template for quickly building and deploying a high-performance model ensemble on tabular and numerical data. It returns the best possible fitted model ensemble out of every possible combination of estimators whose parameters have been hyperoptimized. Ordinarily, machine learning requires five core steps:
* Data Preprocessing
* Feature Engineering
* Model Fitting
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