ForecastHorizonUnit
Forecast the steps after a trained series, and name their dates.
The kept model of a forecasting run was fitted on the whole series and
carries its grid (time_grid): the frequency and the last date are what
turn the forecast's steps into dates. The dates come out as the time index
column the session named, in the format the training dataset declared it
with, so the rows look like the training rows.
Publishes them as dataset, the rows a prediction is made for, and the
forecast as y_pred: SavePredictionUnit writes the two side by side
as it writes any prediction. Nothing is read from a dataset to predict on,
because there is none: a forecast reaches past the end of the data
(RECONCILING_FORECASTING §2.13, D6).
Parameters
- horizon : integer, default=
6 - How many steps ahead the model is scored, from every origin and on the test. A step is one period of the series: a month on a monthly series.
- input_columns : array, default=
[] - Names of the columns used as model input.
Methods
execute(self, ctx: DashAI.back.units.context.ExecutionContext) -> None
ForecastHorizonUnitDo 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.