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

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