[DATALAD] Recorded changes

code/plots/effects_comparison.py

@@ -43,14 +43,14 @@ prior_distribution = {
 samples = {
     "prior": prior_distribution,
     "truth": np.load("output/aggregates_truth_truth_only.npz"),
-    "lena_raw": np.load("output/aggregates_lena_fausey_algo_siblings_adu.npz"),
-    "vtc_raw": np.load("output/aggregates_vtc_fausey_algo_siblings_adu.npz"),
+    "lena_raw": np.load("output/aggregates_lena_cougar_sibs_algo_siblings_adu.npz"),
+    "vtc_raw": np.load("output/aggregates_vtc_cougar_sibs_algo_siblings_adu.npz"),
     # "vtc_calibrated": np.load("output/aggregates_vtc_dev_siblings_effect.npz"),
     # "lena_calibrated": np.load("output/aggregates_lena_dev_siblings_effect.npz"),
     # "vtc_calibrated": np.load("output/aggregates_vtc_fausey_15_dev_siblings.npz"),
     # "lena_calibrated": np.load("output/aggregates_lena_fausey_30_dev_siblings.npz")
-    "vtc_calibrated": np.load("output/aggregates_vtc_cougar_sibs_dev_siblings.npz"),
-    "lena_calibrated": np.load("output/aggregates_lena_cougar_sibs_dev_siblings.npz")
+    "vtc_calibrated": np.load("output/aggregates_vtc_sibs_dev_siblings.npz"),
+    "lena_calibrated": np.load("output/aggregates_lena_sibs_dev_siblings.npz")
 }
 
 labels = {