Time Stepper (DP_7)

This functionality enables you to transform your data into a time series format.

A time series is a series of data points collected or recorded at regular time intervals. By transforming your data into a time series format, you can easily analyze trends and patterns over time, which can be useful for forecasting future values or making informed decisions.

The process of transforming data into a time series is simple, you just need to specify the time column and we automatically convert the data into a time series format.

Sample Request

This request steps the data per 60 entries and replaces existing data in the Y variable.

{
    "project_id": 1,
    "parent_id": 6,
    "block_id": 7,
    "function_code": "DP_7",
    "args": {
        "lookback": 60,
        "lookforward": 1,
        "index": 4
    }
}

Time Stepper

Step data into time series

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

Step data per entries or replace existing data in the Y variable.

Request Body

Name	Type	Description
project_id*	int	current project ID
parent_id*	int	parent block ID
block_id*	int	current block ID
function_code*	String	block's function code
lookback*	int	determines how many past time steps the model should consider when making predictions. It influences the length of the input sequence used to predict the next value
args	object	block arguments
index*	int	column index to apply time stepping function
lookforward	int	defines how many future time steps the model should predict ahead. It indicates the distance into the future the model aims to forecast. Defaults to 1

200: OK Data Encode Successful

{
    "status": "true",
    "message": {
        "id": 3,
        "project": 1,
        "block_id": 7,
        "parent_id": 6,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": ""
    }
}

Python

// Some code

Node