sbmlsim.fit.sampling
¶
Sampling of parameter values.
Module Contents¶
Classes¶
Type of sampling used. |
Functions¶
|
Create samples from given parameter information. |
|
Plot samples. |
Run sampling exa how to use sampling. |
Attributes¶
- class sbmlsim.fit.sampling.SamplingType[source]¶
Bases:
enum.Enum
Type of sampling used.
The LHS options are latin hypercube sampling types.
- 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:
parameters (List[sbmlsim.fit.objects.FitParameter]) –
size –
sampling –
seed –
min_bound – hard lower bound
min_bound – hard upper bound
- Returns:
- Return type:
pandas.DataFrame