PCA-Based Binning via Clustering

example/pca_cluster.yaml

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+metrics: [SNR_ww, SNR_gg, SNR_3x2, FOM_3x2, FOM_DETF_3x2]
+bands: griz
+training_file: data/training.hdf5
+validation_file: data/validation.hdf5
+output_file: example/pca_cluster_output_fom.txt
+# Backend implementing the metrics, either: "firecrown" (default), "jax-cosmo"
+metrics_impl: "jax-cosmo"
+
+run:
+  PCACluster:
+    {% for nbins in [2,3,4] %}
+    run_{{ nbins}}:
+      bins: {{ nbins }}
+      metric: FOM
+      verbose: False
+      # These special settings decide whether the
+      # color and error colums are passed to the classifier
+      # as well as the magnitudes
+      colors: True
+      errors: True
+    {% endfor %}