sbmlsim.fit.sampling

Sampling of parameter values.

Module Contents

Classes

SamplingType

Type of sampling used.

Functions

create_samples(parameters, size, sampling=SamplingType.LOGUNIFORM, seed=None, min_bound=1e-10, max_bound=10000000000.0)

Create samples from given parameter information.

plot_samples(samples)

Plot samples.

example_sampling()

Examples howing the use of the sampling.

Attributes

logger

sbmlsim.fit.sampling.logger[source]
class sbmlsim.fit.sampling.SamplingType[source]

Bases: enum.Enum

Type of sampling used.

The LHS options are latin hypercube sampling types.

LOGUNIFORM = 1[source]
UNIFORM = 2[source]
LOGUNIFORM_LHS = 3[source]
UNIFORM_LHS = 4[source]
sbmlsim.fit.sampling.create_samples(parameters, size, sampling=SamplingType.LOGUNIFORM, seed=None, min_bound=1e-10, max_bound=10000000000.0)[source]

Create samples from given parameter information.

Parameters
Returns

Return type

pandas.DataFrame

sbmlsim.fit.sampling.plot_samples(samples)[source]

Plot samples.

sbmlsim.fit.sampling.example_sampling()[source]

Examples howing the use of the sampling.

Returns