dataset build prevs error fixed, conf updated

conf.yaml

@@ -427,6 +427,8 @@ multiclass_conf: &multiclass_conf
     OUT_DIR_NAME: output/multiclass
     DATASET_N_PREVS: 5
     COMP_ESTIMATORS:
+      - bin_sld_lr_a
+      - mul_sld_lr_a
       - bin_sld_lr_gs
       - mul_sld_lr_gs
       - bin_kde_lr_gs

copy_res.sh

@@ -5,7 +5,9 @@ DIRS=()
 # DIRS+=("cc_lr")
 # DIRS+=("baselines")
 # DIRS+=("d_sld_rbf")
-DIRS+=("d_sld_lr")
+# DIRS+=("d_sld_lr")
+# DIRS+=("debug")
+DIRS+=("multiclass")
 
 for dir in ${DIRS[@]}; do
 	scp -r andreaesuli@edge-nd1.isti.cnr.it:/home/andreaesuli/raid/lorenzo/output/${dir} ./output/

quacc/dataset.py

@@ -254,7 +254,10 @@ class Dataset(DatasetProvider):
         dim = self.all_train.n_classes
         lspace = np.linspace(0.0, 1.0, num=self._n_prevs + 1, endpoint=False)[1:]
         mesh = np.array(np.meshgrid(*[lspace for _ in range(dim)])).T.reshape(-1, dim)
-        mesh = mesh[np.where(mesh.sum(axis=1) == 1.0)]
+        mesh = np.around(mesh, decimals=4)
+        mesh[np.where(np.around(mesh.sum(axis=1), decimals=4) == 0.9999), -1] += 0.0001
+        mesh[np.where(np.around(mesh.sum(axis=1), decimals=4) == 1.0001), -1] -= 0.0001
+        mesh = mesh[np.where(np.around(mesh.sum(axis=1), decimals=4) == 1.0)]
         return np.around(np.unique(mesh, axis=0), decimals=4)
 
     def __build_sample(