Regression methods. More...
|An implementation of LARS, a stage-wise homotopy-based algorithm for l1-regularized linear regression (LASSO) and l1+l2 regularized linear regression (Elastic Net). More...|
|A simple linear regression algorithm using ordinary least squares. More...|
|The LogisticRegression class implements an L2-regularized logistic regression model, and supports training with multiple optimizers and classification. More...|
|The log-likelihood function for the logistic regression objective function. More...|
|Softmax Regression is a classifier which can be used for classification when the data available can take two or more class values. More...|