The sklearn.linear_model.LR.LR in Python is a class that represents the implementation of the Logistic Regression algorithm within the scikit-learn library. Logistic Regression is a popular supervised learning algorithm used for classification tasks. This class provides methods and attributes that allow for fitting the model on training data and making predictions on new data. It also supports various regularization techniques to control overfitting and can handle both binary and multiclass classification problems.
Python LR.LR - 30 examples found. These are the top rated real world Python examples of sklearn.linear_model.LR.LR extracted from open source projects. You can rate examples to help us improve the quality of examples.