Base constructor.

Each object requires:

• a GraphQL client - in order to fill its missing members dynamically
• an initial data blob - typically from unserialized JSON, contains at
• least the data for required members (typically the object's primary key) and optionally other data members.

Parameters

• name str A descriptive name to set
• path str The DBFS path to the artifact file to upload.
• framework Framework The ML framework that this model uses (ex. Framework.ONNX).
• requirements List[str] An optional list of python requirements needed to run this model.
• input_schema pa.Schema A PyArrow schema describing inputs to this model.
• output_schema pa.Schema A PyArrow schema describing the outputs of this model.

Returns

Model An instance of the Wallaroo model that is being created.

Method generated by attrs for class RegisteredModelVersion.

def upload(self, framework: Framework, requirements: List[str] = []): # Uploads this Model's source code to your Wallaroo instance.

#:param: framework Framework The ML framework that this model uses (ex. Framework.ONNX).
#:param: requirements List[str] An optional list of python requirements needed to run this model.
#:return: Model An instance of the Wallaroo model that is being created.
#
from .wallaroo_ml_ops_api_client.api.model.upload_from_registry import sync
from .wallaroo_ml_ops_api_client.models.upload_from_registry_request import (
    UploadFromRegistryRequest,
)
from .wallaroo_ml_ops_api_client.models.conversion import Conversion

ret = sync(
    client=self._client.mlops(),
    json_body=UploadFromRegistryRequest(
        Conversion(
            framework=framework._to_openapi_framework(),
            requirements=requirements,
        ),
        self.name,
        self.registry_id,
        self.version,
        "private",
        self._client.get_current_workspace()._id,
    ),
)

if ret is None:
    raise Exception("Failed to start upload.")

return Model(client=self._client, data={"id": ret.model_id})