GenerateGlobalExplanationUnit
Explain the model over the whole dataset and pickle the result.
Sibling of GenerateLocalExplanationUnit rather than one unit with a
branch, for three reasons that all point the same way: the two produce
different outputs (a single plot here, a set of plots plus the explained
instances there), which a single PROVIDES could not describe since it
is checked unconditionally; the local path has steps this one does not
(fitting, selecting instances); and their configurations point at two
different component registries.
The unit never touches the explanation row: it publishes where it wrote, and the job owns the columns.
Parameters
- explainer_id : integer, default=
1 - Identifier of the global explanation being produced. It names the files on disk, so a re-run overwrites its own artifacts and never another explanation's.
Methods
execute(self, ctx: DashAI.back.units.context.ExecutionContext) -> None
GenerateGlobalExplanationUnitDo the unit's work, reading from and writing to the context.
Parameters
- ctx : ExecutionContext
- The shared execution context.
get_credential(self, name: str)
ConfigObjectResolve a registered credential component by name.
Parameters
- name : str
- Credential component class name (e.g. "HuggingFaceCredential").
Returns
- BaseCredential
- An instance of the requested credential component.
get_schema(cls) -> dict
ConfigObjectGenerates the component related Json Schema.
Returns
- dict
- Dictionary representing the Json Schema of the component.
validate(self, ctx: DashAI.back.units.context.ExecutionContext) -> None
BaseUnitCheck preconditions without executing the unit.
Parameters
- ctx : ExecutionContext
- The shared execution context.
validate_and_transform(self, raw_data: dict) -> dict
ConfigObjectIt takes the data given by the user to initialize the model and returns it with all the objects that the model needs to work.
Parameters
- raw_data : dict
- A dictionary with the data provided by the user to initialize the model.
Returns
- dict
- A validated dictionary with the necessary objects.