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Actions20

Make Prediction → Make Prediction

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Overview

This node uses the JigsawStack API to make predictions based on a provided dataset of date and value pairs. It is useful for time series forecasting or trend analysis where users want to predict future values based on historical data. For example, predicting sales figures for the next few days based on past sales data.

Use Case Examples

  1. Predicting stock prices for the next 5 days using historical daily closing prices.
  2. Forecasting website traffic for the upcoming week based on past visitor data.

Properties

Name Meaning
Dataset An array of objects containing date and value pairs used as input data for making predictions. It requires a minimum of 5 and a maximum of 1000 data points.
Steps The number of future predictions to generate, with a minimum of 1 and a maximum of 500.
Request Options Settings to control request behavior such as batching, SSL certificate validation, proxy usage, and timeout duration.

Output

JSON

  • predictions - Array of predicted values generated by the model for the specified number of steps.

Dependencies

  • Requires an API key credential for JigsawStack API authentication.

Troubleshooting

  • Ensure the dataset contains at least 5 data points and no more than 1000 to avoid validation errors.
  • Verify the API key credential is correctly configured and has necessary permissions.
  • Check network connectivity and proxy settings if requests fail or time out.
  • If SSL certificate validation errors occur, consider enabling the option to ignore SSL issues, but be aware of security risks.

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