Utilities#
- class twon_lss.utility.llm.LLM[source]#
- __init__(**data)#
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:
data (Any)
- Return type:
None
- __new__(**kwargs)#
- class twon_lss.utility.noise.Noise[source]#
The Noise class generates random floating point numbers from a uniform distribution for multiplicative noise with the following attributes. The neutral value (no noise) is achieved when low = high = 1.0. The class provides methods to generate single random numbers or multiple samples.
- low#
Lower boundary for the random number generation (default: 0.8).
- Type:
float
- high#
Upper boundary for the random number generation (default: 1.2).
- Type:
float
- __init__(**data)#
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:
data (Any)
- Return type:
None
- __new__(**kwargs)#