Lasso ✓

Snap-to-edge technology that follows the contrast between an object and its background. You can adjust "Frequency" to add more anchor points for complex edges.

It adds a "penalty" (L1 regularization) to the model. This shrinks the coefficients of less important variables toward zero. Snap-to-edge technology that follows the contrast between an

LASSO (Least Absolute Shrinkage and Selection Operator) is a statistical method used in Machine Learning to improve model accuracy: Snap-to-edge technology that follows the contrast between an