General AutoDL Blocks (A_DL_ALL)

This function loads and uses pre-trained AutoDL models to perform actions such as model evaluation and value prediction.

After training auto models, you'd have to use them of course. Blocks in this category are the right tools for the job. They are compatible with all AutoDL models, thanks to our dynamic approach to handling them

Evaluating an Automated Deep Learning Model

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "A_DL_ALL_E",
    "args": {
        "hyp_params": {
            "batch_size": 32
        }
    }
}

Parameter Details

AutoDL Evaluating

POST

Request Body

Name	Type	Description
project_id*	int	The id of the current project
parent_id*	int	The id of the previous block
block_id*	int	The id of the current block
function_code*	String	Function code for the current block
args*	object	Block arguments
hyp_params*	object	hyper parameters for model evaluation
batch_size	int	Number of samples that are processed by the model during evaluation

200: OK Statemanagement object

{
    "status": "true",
    "message": {
        "id": 9,
        "project": 1,
        "block_id": 9,
        "parent_id": 8,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}

Predicting with an Automated Deep Learning Model

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "A_DL_ALL_P",
    "args": {
        "test_data": ""
    }
}

Parameter Details

AutoDL Predict

POST https://autogon.ai/api/v1/engine/start

Request Body

Name	Type	Description
test_data*	String	Input data for prediction Defaults to x_test_url
project_id*	int	ID of the current project
block_id*	int	ID of the current block
parent_id*	int	ID of the previous block
function_code*	String	Function code for the current block
args*	object	Block arguments
add_dim	bool	Sets whether an extra dimension should be added to x data

200: OK Statemanagement object

{
    "status": "true",
    "message": {
        "id": 9,
        "project": 1,
        "block_id": 9,
        "parent_id": 8,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}

Python

// Some code

Node

// Some code