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When data is not normalized in LinearRegression.fit_stochastic_gradient_descent()
LinearRegression.fit_stochastic_gradient_descent()
https://github.com/stoltzmaniac/Basic-ML-OOP/blob/master/01-Regression/Linear-Regression/Part-02/models/regression.py
The gradient blows up. Not only will it not converge, it will overflow. However, when normalized or standardized, it works just fine...
The text was updated successfully, but these errors were encountered:
stoltzmaniac
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When data is not normalized in
LinearRegression.fit_stochastic_gradient_descent()
https://github.com/stoltzmaniac/Basic-ML-OOP/blob/master/01-Regression/Linear-Regression/Part-02/models/regression.py
The gradient blows up. Not only will it not converge, it will overflow. However, when normalized or standardized, it works just fine...
The text was updated successfully, but these errors were encountered: