Adds a model to Fiddler without uploading an artifact. Requires a fdl.ModelInfo object containing information about the model. Requires dataset to have an output column.

Input ParameterTypeDefaultDescription
project_idstrNoneThe unique identifier for the project.
model_idstrNoneA unique identifier for the model. Must be a lowercase string between 2-30 characters containing only alphanumeric characters and underscores. Additionally, it must not start with a numeric character.
dataset_idstrNoneThe unique identifier for the dataset.
model_infofdl.ModelInfoNoneA fdl.ModelInfo() object containing information about the model.
PROJECT_ID = 'example_project'
DATASET_ID = 'example_dataset'
MODEL_ID = 'example_model'

dataset_info = client.get_dataset_info(
    project_id=PROJECT_ID,
    dataset_id=DATASET_ID
)

model_task = fdl.ModelTask.BINARY_CLASSIFICATION
model_target = 'target_column'
model_output = 'output_column'
model_features = [
    'feature_1',
    'feature_2',
    'feature_3'
]

model_info = fdl.ModelInfo.from_dataset_info(
    dataset_info=dataset_info,
    target=model_target,
    outputs=[model_output],
    model_task=model_task
)

client.add_model(
    project_id=PROJECT_ID,
    dataset_id=DATASET_ID,
    model_id=MODEL_ID,
    model_info=model_info
)
Return TypeDescription
strA message confirming that the model was added.