vastorbit.machine_learning.vast.preprocessing.RobustScaler.import_models¶

static RobustScaler.import_models(path: str, schema: str | None = None, kind: Literal['pmml', 'VAST', 'VAST_models', 'tensorflow', 'tf', None] = None) → bool¶

Imports machine learning models.

Parameters:

path (str) –
Absolute path of an output directory to store the exported models.

Warning

This function operates solely on the server side and is not accessible locally. The path provided should match the location where the file(s) will be exported on the server.
schema (str, optional) – Schema name.
kind (str, optional) –
One of the following:
- pmml
- VAST
- tensorflow

Returns:

True if the model was successfully imported.

Return type:

bool

Examples

Let’s consider we’ve fitted a VAST model named ‘my_model’. We want to import it in the ‘my_schema’ schema.

You can import it easily:

from vastorbit.machine_learning.vast.base import VASTModel

VASTModel.import_models(
    path = 'server_location'
    schema = 'my_schema',
    kind = 'pmml', # Pick up the import type.
)

Warning

This function operates solely on the server side and is not accessible locally.