plotStepFunction

Trained replicator neural network object

object

Data to be plotted as points on steps

hidden_node

Color of points. Replace with a vector indicating class-membership
to give points in classes different colors.

color

logical indicating if the derivative of the step function should be plotted.

derivative

further arguments to be passed to plot

Plot the projections of observations onto the stepfunction in the low-dimensional 
space of the compression layer

Training of general classification and regression neural networks using
gradient descent. Special features include a function for training replicator
neural networks and a function for training autoencoders. Multiple activation and
cost functions (including Huber and pseudo-Huber) are supported, as well as L1
and L2 regularization, momentum, early stopping and the possibility to specify
a learning rate schedule. The package contains a vectorized gradient descent
implementation which facilitates faster training through batch learning.

plotStepFunction: Plot the step function used in `replicator`

Description

Usage

Arguments