Spline Layer
Constructs a Spline Layer. At a high-level, it performs the following:
- Takes as input a one-dimensional training dataset, a time span, a time step and an interpolation method.
- During training, adjusts the values of the function at multiples of the time-step such that the curve interpolated through these points has minimum loss on the corresponding one-dimensional dataset.
DiffEqFlux.SplineLayer
— TypeConstructs a Spline Layer. At a high-level, it performs the following:
- Takes as input a one-dimensional training dataset, a time span, a time step and
an interpolation method.
- During training, adjusts the values of the function at multiples of the time-step
such that the curve interpolated through these points has minimum loss on the corresponding one-dimensional dataset.
SplineLayer(time_span,time_step,spline_basis,saved_points=nothing)
Arguments:
time_span
: Tuple of real numbers corresponding to the time span.time_step
: Real number corresponding to the time step.spline_basis
: Interpolation method to be used yb the basis (current supported interpolation methods: ConstantInterpolation, LinearInterpolation, QuadraticInterpolation, QuadraticSpline, CubicSpline).- 'saved_points': values of the function at multiples of the time step. Initialized by default
to a random vector sampled from the unit normal.