gemseo.uncertainty.distributions.scipy.triangular_settings module

Settings for the SciPy-based triangular distributions.

Settings SPTriangularDistribution_Settings(*, minimum=0.0, maximum=1.0, mode=0.5)

Bases: BaseTriangularDistribution_Settings

The settings of a SciPy-based triangular distribution.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Parameters:

• minimum (float) --

  By default it is set to 0.0.

• maximum (float) --

  By default it is set to 1.0.

• mode (float) --

  By default it is set to 0.5.

Return type:

None

model_post_init(context, /)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that's what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) -- The BaseModel instance.

• context (Any) -- The context.

Return type:

None