need some general guidance on how to use market's clustering feature

To use the market's clustering feature in Create ML, you can follow the guidance provided in the "What’s new in Create ML" session from WWDC 2024. Here are some steps and tips based on the session:

1. Data Preparation:

   • Ensure your data is well-prepared and annotated correctly. You can visualize and debug your annotations using the Create ML app to ensure they match your expectations. This is crucial for avoiding issues like duplicate predictions (What’s new in Create ML).

2. Feature Extraction:

   • Extract valuable temporal information from your data. For example, you can use the date feature extractor component to extract features like the day of the week or the month of the year. This helps the model learn from specific trends in the data (What’s new in Create ML).

3. Building the Model:

   • Use the time series forecaster model to predict future values based on historical data. This model is general-purpose and can be used for various types of data, such as sales or sensor data. You need to split your data into training and validation sets and decide on the prediction window (What’s new in Create ML).

4. Training and Validation:

   • Train your model by providing it with a sufficient context of historical data. For example, if you want to forecast sales three days in the future, you might provide the last 15 days of historical data as context (What’s new in Create ML).

By following these steps, you can effectively use the market's clustering feature in Create ML to build and train models that can predict future trends based on historical data.

Relevant Sessions

• What’s new in Create ML

If you need more specific guidance or have other questions, feel free to ask!