pipeline.md

@@ -57,13 +57,15 @@ sign0_full = cc.get_signature('sign0', 'full', 'A1.001')
 sign0_full.predict()
 sign0_ref = cc.get_signature('sign0', 'reference', 'A1.001')
 rnd = RNDuplicates()
-rnd.remove(sign0_full.data_path)
-rnd.save(sign0_ref.data_path)
+keys,data,maps = rnd.remove(sign0_full.data_path)
 f5 = h5py.File(sign0_full.data_path)
 features = f5["features"][:]
 f5.close()
-with h5py.File(sign0_ref.data_path, 'a') as hf:
+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=data, dtype='i8')
+    hf.create_dataset("shape", data=data.shape)
 sign1_ref = cc.get_signature('sign1', 'reference', 'A1.001')
 sign1_ref.fit(sign0_ref)
 sign1_full = cc.get_signature('sign1', 'full', 'A1.001')