QuadraticFunction

class safe_learning.QuadraticFunction(matrix, name='quadratic')

A quadratic function.

values(x) = x.T P x

Parameters:

matrix : np.array

2d cost matrix for lyapunov function.

Attributes:

parameters

Return the variables within the current scope.

scope_name

Methods

__call__(self, \*args, \*\*kwargs)	Evaluate the function using the template to ensure variable sharing.
build_evaluation(self, points)	Like evaluate, but returns a tensorflow tensor instead.
copy_parameters(self, other_instance)	Copy over the parameters of another instance.
gradient(self, points)	Return the gradient of the function.

build_evaluation(self, points)

Like evaluate, but returns a tensorflow tensor instead.

copy_parameters(self, other_instance)

Copy over the parameters of another instance.

gradient(self, points)

Return the gradient of the function.

parameters

Return the variables within the current scope.