FunctionStack¶

class safe_learning.FunctionStack(functions, name='function_stack')¶

A combination of multiple 1d (uncertain) functions for each dim.

Parameters:	functions : list The functions. There should be one for each dimension of the output.
Attributes:	`parameters` Return the parameters. scope_name

Methods

`__call__`(self, \args, \\*kwargs)	Evaluate the function using the template to ensure variable sharing.
`add_data_point`(self, x, y)	Add data points to the GP model and update cholesky.
`build_evaluation`(self, points)	Evaluation, see UncertainFunction.evaluate.
`copy_parameters`(self, other_instance)	Copy over the parameters of another instance.
`to_mean_function`(self)	Turn the uncertain function into a deterministic ‘mean’ function.

add_data_point(self, x, y)¶

Add data points to the GP model and update cholesky.

Parameters:	x : ndarray A 2d array with the new states to add to the GP model. Each new state is on a new row. y : ndarray A 2d array with the new measurements to add to the GP model. Each measurements is on a new row.

build_evaluation(self, points)¶: Evaluation, see UncertainFunction.evaluate.

copy_parameters(self, other_instance)¶: Copy over the parameters of another instance.

to_mean_function(self)¶: Turn the uncertain function into a deterministic ‘mean’ function.