Experiment: {{experiment.meta_dir}}

Best params: {{data.best_x}}, fitness: {{data.best_y}}

Value range [{{data.minval}} - {{data.maxval}}]

ls: {{result_gp.kernel.params["lengthscale"].numpy()}}
sigma: {{result_gp.kernel.params["sigma"].numpy()}}
noise: {{result_gp.noise}}

Hyperparameters

{% for slice in data.posterior_slices %}

{{slice.gp.kernel}} - {{slice.gp.noise}}

{% endfor %}
{% for slice in data.posterior_slices %} {% endfor %}

Intermediate results

{% for sample in sample_col.samples[:5] %} {% endfor %}
JobID Hyperparams Final value Intermediate
{{sample.job.job_id}} {{sample.job.run_parameters}} {{sample.get_result(sample_col.meta_dir)}}