AutomaticTimeSeriesLoadModelAndPredict

class hana_ai.tools.df_tools.automatic_timeseries_tools.AutomaticTimeSeriesLoadModelAndPredict(connection_context: ConnectionContext, return_direct: bool = False)

This tool load model from model storage and do the prediction.

Parameters:

connection_contextConnectionContext

Connection context to the HANA database.

Returns:

str

The JSON string of the predicted results table and the statistics.

Note

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

Field	Description
predict_select_statement	The SQL select statement of the dataset to predict. If not provided, ask the user. Do not guess.
name	The name of the model. If not provided, ask the user. Do not guess.
version	The version of the model, it is optional
key	The key of the dataset. If not provided, ask the user. Do not guess.
exog	The exog of the dataset, it is optional
show_explainer	Whether to show explainer, it is optional

name: str

Name of the tool.

description: str

Description of the tool.

connection_context: ConnectionContext

Connection context to the HANA database.