Simple Linear Regression (ML_R_1)

This function models the relationship between two continuous variables. The objective is to predict the value of an output variable based on the value of an input variable.

It uses a linear technique to predict the value of the dependent variable based on the value of the independent variable.

The values of the coefficients of the equation are found by minimizing the difference between the observed values of the dependent variable and the predicted values by the equation.

It can help understand the relationship between two variables and make

Sample Request

Build a simple linear regression model named, "SimpleModel"

{
    "project_id": 1,
    "parent_id": 7,
    "block_id": 8,
    "function_code": "ML_R_1",
    "args": {
        "model_name": "SimpleModel"
    }
}

Building a Simple Linear Regression model

Simple Linear Regression

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

model_name

String

Name of the model to be used for prediction.

{
    "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": "{\"SimpleModel\": {\"function_code\": \"ML_R_1\", \"model_url\": ""}}"
    }
}

Sample Request

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

{
    "project_id": 1,
    "parent_id": 8,
    "block_id": 9,
    "function_code": "ML_R_1_P",
    "args": {
        "model_name": "SimpleModel",
        "test_data": ""
    }
}

Predicting with Simple Linear Regression

Simple Linear Regression Predict

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

Request Body

NameTypeDescription

model_name*

String

Name of previously trained model to be used for prediction

test_data

String

Input data for prediction. Defaults to x_train_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\": ""}"
    }
}

// Some code

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