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This new capability, starting with gpCAM version 8, gives users the power to run Bayesian Optimization and, therefore, autonomous experimentation on large datasets. In Fact, gpCAM holds the current world record (10 million points) for scaling up exact Gaussian Processes. In this example, we show how this works on a moderately sized toy example of 2,000 data points.
This new capability, starting with gpCAM version 8, gives users the power to run Bayesian Optimization and, therefore, autonomous experimentation on large datasets. In Fact, gpCAM holds the current world record (10 million points) for scaling up exact Gaussian Processes. In this example, we show how this works on a moderately sized toy example of 2,000 data points.
If you encounter clashes with pre-installed package versions in Colab, consider using a local runtime.
Try the notebook here.
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