verticapy.machine_learning.vertica.decomposition.PCA.import_models¶

static PCA.import_models(path: str, schema: str | None = None, kind: Literal['pmml', 'vertica', 'vertica_models', 'tensorflow', 'tf', None] | 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
vertica
tensorflow

Returns¶

bool: True if the model was successfully imported.

Examples¶

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

You can import it easily:

from verticapy.machine_learning.vertica.base import VerticaModel

VerticaModel.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.