Configuration¶
- class probnum._config.Configuration[source]¶
Bases:
object
Configuration by which some mechanics of ProbNum can be controlled dynamically.
ProbNum provides some configurations together with default values. These are listed in the tables below. Additionally, users can register their own configuration entries via
register()
. Configuration entries can only be registered once and can only be used (accessed or overwritten) once they have been registered.Config Option
Default Value
Description
covariance_inversion_damping
1e-12
A (typically small) value that is per default added to the diagonal of covariance matrices in order to make inversion numerically stable.
lazy_linalg
False
If True, wherever possible, LinearOperators are used instead of Numpy arrays. LinearOperators provide lazy arithmetic and thus memory- and runtime-efficient linear algebra operations.
Examples
>>> import probnum >>> probnum.config.covariance_inversion_damping 1e-12 >>> with probnum.config( ... covariance_inversion_damping=1e-2, ... ): ... probnum.config.covariance_inversion_damping 0.01
Methods Summary
__call__
(**kwargs)Context manager used to set values of registered config options.
register
(key, default_value, description)Register a new configuration option.
Methods Documentation
- __call__(**kwargs)[source]¶
Context manager used to set values of registered config options.
- Return type