Auto Text Classification (A_DL_TXC)

This function creates an Automated Text classifying model

These models are designed to classify text into different categories, such as sentiment analysis or topic modeling.

Sample Request

Build an Auto Text Classifier

{
    "project_id": 1,
    "parent_id": 7,
    "block_id": 8,
    "function_code": "A_DL_TXC_I",
    "args": {
    "hyp_params":{
            "max_trials": 1
        }
    }
}

Building an Auto Text Classifier

Automated Model Construction

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

Request Body

Name	Type	Description
project_id*	int	The id of the current project
block_id*	int	The id of the current block
function_code*	string	The function code for current block
parent_id*	int	The id of the previous block
args*	object	Block arguments
max_trials	int	Maximum number of different models that will be tried

200 Statemanagement object

{
    "status": "true",
    "message": {
        "id": 8,
        "project": 1,
        "block_id": 8,
        "parent_id": 7,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": "",
        "x_train_url": "",
        "y_train_url": "",
        "x_test_url": "",
        "y_test_url": "",
        "output": {}
    }
}

Sample Request

Compile and train the pre-built TXC model, using passed in Hyper Parameters

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "A_DL_TXC_T",
    "args": {
        "model_name": "titanic_model",
        "hyp_params":{
            "epochs": 10
        }
    }
}

Training an Auto Image Classifier

Automated Model Training

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

Request Body

Name	Type	Description
project_id*	int	The id of the current project
hyp_params	object	hyper parameters for model compilation and training
parent_id*	int	The id of the previous block
block_id*	int	The id of the current block
function_code*		The function code for current block
args*	object	Block arguments
model_name*	String	The name the model would be saved with
epochs	int	Number of iterations through the dataset

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": {}
    }
}

Predictions

Make predictions with the DL_ANN Predict block

Python

// Some code

Node