AutoRegression II (AUTO_R_2)

Building a AutoRegression Wizard model

Sample Request

{
    "project_id": 1,
    "parent_id": 7,
    "block_id": 8,
    "function_code": "AUTO_R_1",
    "args": {
        "model_name": "AutoRegression",
        "prediction_type": "regression",
        "target": "amount"
    }
}

AutoRegression

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

model_name*

String

Name of the model to be used for prediction. Defaults to WizardModel.

prediction_type*

String

the preferred prediction type (classification or regression)

target*

String

a column from the original dataset

{
    "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": "{\"ClassicModel\": {\"function_code\": \"ML_R_3\", \"model_url\": ""}}"
    }
}

Prediction with AutoRegression

Make predictions with the pre-built model passing an optional test data.

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "AUTO_R_2_P",
    "args": {
        "model_name": "AutoRegression"
        "test_data": "",
    }
}

AutoRegression Predict

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

Request Body

Name
Type
Description

model_name*

String

Name of previously trained model to be used for prediction. Defaults to StudioWizrd

test_data

String

Input data for prediction. Defaults to x_test_url in StateManagment

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

{
    "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": "{\"y_pred_url\": ""}"
    }
}
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