Loosen requirements on kmeans passed to DiviK

gmrukwa · Feb 8, 2021 · 6d85b20 · 6d85b20
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commit 6d85b20
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Showing 2 changed files with 3 additions and 3 deletions.
diff --git a/divik/score/_gap.py b/divik/score/_gap.py
@@ -20,7 +20,7 @@
 
 def _dispersion(data: Data, kmeans: KMeans) -> float:
     assert data.shape[0] == kmeans.labels_.size, "kmeans not fit on this data"
-    if kmeans.normalize_rows:
+    if getattr(kmeans, "normalize_rows", False):
         data = normalize_rows(data)
     clusters = pd.DataFrame(data).groupby(kmeans.labels_)
     return float(
@@ -40,7 +40,7 @@ def _sampled_dispersion(
     logging.debug(f"Sampling with seed {seed}.")
     X = sampler.get_sample(seed)
     logging.debug(f"Sample shape {X.shape}")
-    if kmeans.normalize_rows:
+    if getattr(kmeans, "normalize_rows", False):
         logging.debug("Normalizing rows.")
         X = normalize_rows(X)
     if fit:

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "divik"
-version = "3.0.7"
+version = "3.0.8"
 description = "Divisive iK-means algorithm implementation"
 authors = ["Grzegorz Mrukwa <g.mrukwa@gmail.com>"]
 license = "Apache-2.0"