ML Model & Experiment Recipient

import_experiment

import_experiment()

Create an MLflow experiment containing all the runs from a share

Parameters

• delta_sharing_coordinate (String) – 3 piece coordinates identifying the share.

• experiment_name (String) – Experiment Name that will be imported.

Return type

None: No return type.

Example

Python

import arcuate
import delta_sharing

df = delta_sharing.load_as_pandas(delta_sharing_coordinate)

# import the shared table as experiment
import_experiments(df, experiment_name)

Note

This function doesnt have any real return type. It is either a success or it will throw an error.

import_model

import_model Arcuate Magic

Create an MLflow model in the registry containing all the models from a share

Parameters

• delta_sharing_coordinate (String) – 3 piece coordinates identifying the share.

• model_name (String) – Model Name that will be imported.

Return type

None: No return type.

Example

Python

import arcuate
import delta_sharing

df = delta_sharing.load_as_pandas(delta_sharing_coordinate)

# import the model
import_models(df, model_name)

Note

This function doesnt have any real return type. It is either a success or it will throw an error.