Auto Image Classification (A_DL_IMC)

This function creates an Automated Image classifying model

These models are designed to classify images into different categories, such as identifying the object or animal in the image

Sample Request

Build an Auto Image Classifier

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

Building an Auto Image Classifier

Automated Model Construction

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

Request Body

NameTypeDescription

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

{
    "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 IMC model, using passed in Hyper Parameters

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "A_DL_IMC_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

NameTypeDescription

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

{
    "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

// Some code

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