supaernova.configs.steps.pae.model

source module supaernova.configs.steps.pae.model

Classes

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

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

source class PAEStepAnalysis(**data: Any)

Bases : AbstractStepAnalysis

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.

Attributes

• model_extra : dict[str, Any] | None — Get extra fields set during validation.

• model_fields_set : set[str] — Returns the set of fields that have been explicitly set on this model instance.

source class PAEModelConfig(**data: Any)

Bases : AbstractModelConfig

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.

Attributes

• model_extra : dict[str, Any] | None — Get extra fields set during validation.

• model_fields_set : set[str] — Returns the set of fields that have been explicitly set on this model instance.

Methods

• validate_bounds

• validate_encode_dims

• validate_decode_dims

• validate_n_latents

source method PAEModelConfig.validate_bounds() → Self

source classmethod PAEModelConfig.validate_encode_dims(value: tuple[PositiveInt, ...]) → tuple[PositiveInt, ...]

source method PAEModelConfig.validate_decode_dims() → Self

source method PAEModelConfig.validate_n_latents() → Self