PureSVDModelConfig
- class rectools.models.pure_svd.PureSVDModelConfig(*, cls: Optional[Type[ModelBase]] = None, verbose: int = 0, factors: int = 10, tol: float = 0, maxiter: Optional[int] = None, random_state: Optional[int] = None, recommend_n_threads: int = 0, recommend_use_gpu_ranking: bool = True)[source]
Bases:
ModelConfigConfig for PureSVD model.
- Inherited-members
- Parameters
cls (Optional[Type[ModelBase]]) –
verbose (int) –
factors (int) –
tol (float) –
maxiter (Optional[int]) –
random_state (Optional[int]) –
recommend_n_threads (int) –
recommend_use_gpu_ranking (bool) –
Methods
construct([_fields_set])copy(*[, include, exclude, update, deep])Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])from_orm(obj)json(*[, include, exclude, by_alias, ...])model_construct([_fields_set])Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#model_copy
model_dump(*[, mode, include, exclude, ...])Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump
model_dump_json(*[, indent, include, ...])Usage docs: https://docs.pydantic.dev/2.10/concepts/serialization/#modelmodel_dump_json
model_json_schema([by_alias, ref_template, ...])Generates a JSON schema for a model class.
model_parametrized_name(params)Compute the class name for parametrizations of generic classes.
model_post_init(_BaseModel__context)Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, ...])Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])Usage docs: https://docs.pydantic.dev/2.10/concepts/json/#json-parsing
model_validate_strings(obj, *[, strict, context])Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])parse_obj(obj)parse_raw(b, *[, content_type, encoding, ...])schema([by_alias, ref_template])schema_json(*[, by_alias, ref_template])update_forward_refs(**localns)validate(value)Attributes
model_computed_fieldsConfiguration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extraGet extra fields set during validation.
model_fieldsmodel_fields_setReturns the set of fields that have been explicitly set on this model instance.
factorstolmaxiterrandom_staterecommend_n_threadsrecommend_use_gpu_ranking- model_config: ClassVar[ConfigDict] = {'extra': 'forbid'}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].