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 Parameter | Type | Default | Description |
|---|---|---|---|
| project_id | str | None | The unique identifier for the project. |
| model_id | str | None | A 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_id | str | None | The unique identifier for the dataset. |
| model_info | fdl.ModelInfo | None | A 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 Type | Description |
|---|---|
| str | A message confirming that the model was added. |