pipeline.md

@@ -57,15 +57,13 @@ sign0_full = cc.get_signature('sign0', 'full', 'A1.001')
 sign0_full.predict()
 sign0_ref = cc.get_signature('sign0', 'reference', 'A1.001')
 rnd = RNDuplicates()
-keys,data,maps = rnd.remove(sign0_full.data_path)
+rnd.remove(sign0_full.data_path)
 f5 = h5py.File(sign0_full.data_path)
-features = f5["features"][:]
+features = f5['features'][:]
 f5.close()
-with h5py.File(sign0_ref.data_path, 'w') as hf:
-    hf.create_dataset("features", data=features)
-    hf.create_dataset("keys", data=keys)
-    hf.create_dataset("V", data=np.array(data, dtype=np.int8))
-    hf.create_dataset("shape", data=data.shape)
+rnd.save(sign0_ref.data_path)
+with h5py.File(sign0_ref.data_path, 'a') as hf:
+    hf.create_dataset('features', data=features)
 sign1_ref = cc.get_signature('sign1', 'reference', 'A1.001')
 sign1_ref.fit(sign0_ref)
 sign1_full = cc.get_signature('sign1', 'full', 'A1.001')