io.github.mandar2812.dynaml.optimization
Gradient
Related Doc:
package optimization
Compute the gradient and loss given the features of a single data point, add the gradient to a provided DenseVector[Double] to avoid creating new objects, and return loss.
Compute the gradient and loss given the features of a single data point, add the gradient to a provided DenseVector[Double] to avoid creating new objects, and return loss.
features for one data point
label for this data point
weights/coefficients corresponding to features
the computed gradient will be added to this DenseVector[Double]
loss
Compute the gradient and loss given the features of a single data point.
Compute the gradient and loss given the features of a single data point.
features for one data point
label for this data point
weights/coefficients corresponding to features
(gradient: DenseVector[Double], loss: Double)
Class used to compute the gradient for a loss function, given a single data point.