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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 for scaling up exact Gaussian Processes. In this example, we show how this works on a moderately sized example of 10,000 data points. If you are using a later version than 8.1.13 there might be some minor changes you have to apply to get this example to run.
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 for scaling up exact Gaussian Processes. In this example, we show how this works on a moderately sized example of 10,000 data points. If you are using a later version than 8.1.13 there might be some minor changes you have to apply to get this example to run.
Check out the latest version of this script here.
If there are clashes with pre-installed package versions in Colab, please use a local runtime.
Try the notebook here.
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