pasteur.kedro.mlflow.config.UiOptions

class pasteur.kedro.mlflow.config.UiOptions(**data)

Attributes

port
host

Methods

construct([_fields_set])	Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
copy(*[, include, exclude, update, deep])	Duplicate a model, optionally choose which fields to include, exclude and change.
dict(*[, include, exclude, by_alias, ...])	Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.
from_orm(obj)	rtype: Model
json(*[, include, exclude, by_alias, ...])	Generate a JSON representation of the model, include and exclude arguments as per dict().
parse_file(path, *[, content_type, ...])	rtype: Model
parse_obj(obj)	rtype: Model
parse_raw(b, *[, content_type, encoding, ...])	rtype: Model
schema([by_alias, ref_template])	rtype: DictStrAny
schema_json(*[, by_alias, ref_template])	rtype: unicode
update_forward_refs(**localns)	Try to update ForwardRefs on fields based on this Model, globalns and localns.
validate(value)	rtype: Model

class Config

extra = 'forbid'

__init__(**data)

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

Raises ValidationError if the input data cannot be parsed to form a valid model.

classmethod construct(_fields_set=None, **values)

Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ‘allow’ was set since it adds all passed values

Return type:

Model

copy(*, include=None, exclude=None, update=None, deep=False)

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters:

• include (Union[AbstractSetIntStr, MappingIntStrAny, None]) – fields to include in new model

• exclude (Union[AbstractSetIntStr, MappingIntStrAny, None]) – fields to exclude from new model, as with values this takes precedence over include

• update (Optional[DictStrAny]) – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

• deep (bool) – set to True to make a deep copy of the model

Return type:

Model

Returns:

new model instance

dict(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False)

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Return type:

DictStrAny

classmethod from_orm(obj)

Return type:

Model

host: str

json(*, include=None, exclude=None, by_alias=False, skip_defaults=None, exclude_unset=False, exclude_defaults=False, exclude_none=False, encoder=None, models_as_dict=True, **dumps_kwargs)

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

Return type:

unicode

classmethod parse_file(path, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Model

classmethod parse_obj(obj)

Return type:

Model

classmethod parse_raw(b, *, content_type=None, encoding='utf8', proto=None, allow_pickle=False)

Return type:

Model

port: str

classmethod schema(by_alias=True, ref_template='#/definitions/{model}')

Return type:

DictStrAny

classmethod schema_json(*, by_alias=True, ref_template='#/definitions/{model}', **dumps_kwargs)

Return type:

unicode

classmethod update_forward_refs(**localns)

Try to update ForwardRefs on fields based on this Model, globalns and localns.

Return type:

None

classmethod validate(value)

Return type:

Model