AdditiveModelForecastLoadModelAndPredict

class hana_ai.tools.hana_ml_tools.additive_model_forecast_tools.AdditiveModelForecastLoadModelAndPredict(connection_context: ConnectionContext, return_direct: bool = False)

This tool is used to load the additive model forecast from model storage and predict.

Parameters:

connection_contextConnectionContext

Connection context to the HANA database.

Returns:

str

The name of the predicted results table.

Note

args_schema is used to define the schema of the inputs as follows:

Field	Description
predict_table	The name of the table containing the prediction data.
predict_schema	The schema of the predict_table, it is optional.
key	The key column in the prediction table.
name	The name of the model to load.
version	The version of the model to load.
exog	External regressors to include in the prediction.
logistic_growth_capacity	Capacity for logistic growth.
interval_width	Width of the prediction intervals.
uncertainty_samples	Number of uncertainty samples to draw.
show_explainer	Whether to show the explainer.
decompose_seasonality	Whether to decompose seasonality.
decompose_holiday	Whether to decompose holiday effects.

name: str

Name of the tool.

description: str

Description of the tool.

connection_context: ConnectionContext

Connection context to the HANA database.