Welcome to the AI Toolkit Time Series Forecasting API documentation. This section provides detailed information about our time series forecasting API, including its functionalities, usage, and examples.

Features

  • Accurate Forecasting: Utilize our advanced algorithms to generate precise forecasts for time series data.
  • Customizable Models: Choose from a variety of models to suit your specific forecasting needs.
  • Real-time Updates: Get real-time forecasts as your data updates.

Usage

To use the Time Series Forecasting API, follow these steps:

  1. Get Your API Key: Sign up for an account on our website to obtain your API key.
  2. API Endpoint: Send a GET request to /api/time-series/forecast with the necessary parameters.
  3. Parameters:
    • model: The model to use for forecasting (e.g., ARIMA, LSTM).
    • data: The time series data to forecast.
    • forecast_period: The number of periods to forecast.

Example

Here's an example of a GET request to the Time Series Forecasting API:

GET /api/time-series/forecast?model=ARIMA&data=2023-01-01,100&forecast_period=3

This request will forecast the next 3 periods for the given time series data using the ARIMA model.

Related Resources

For more information on time series forecasting and AI Toolkit, check out the following resources:

Time Series Forecasting