Skip to content

docs: add KMeans example #1234

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Dec 20, 2024
Merged

docs: add KMeans example #1234

Changes from 1 commit
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
235b0ce
docs: add KMeans example
GarrettWu Dec 19, 2024
801d6cd
fix test
GarrettWu Dec 20, 2024
1fa7453
Merge remote-tracking branch 'github/main' into garrettwu-example
GarrettWu Dec 20, 2024
1f00e6a
skip non deterministic examples
GarrettWu Dec 20, 2024
File filter

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
skip non deterministic examples
  • Loading branch information
@GarrettWu
GarrettWu committed Dec 20, 2024
commit 1f00e6aa6aae22a0808418f879981c7f1035840a
4 changes: 2 additions & 2 deletions third_party/bigframes_vendored/sklearn/cluster/_kmeans.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -35,12 +35,12 @@ class KMeans(_BaseKMeans):

>>> X = bpd.DataFrame({"feat0": [1, 1, 1, 10, 10, 10], "feat1": [2, 4, 0, 2, 4, 0]})
>>> kmeans = KMeans(n_clusters=2).fit(X)
>>> kmeans.predict(bpd.DataFrame({"feat0": [0, 12], "feat1": [0, 3]}))["CENTROID_ID"] # doctest:+ELLIPSIS
>>> kmeans.predict(bpd.DataFrame({"feat0": [0, 12], "feat1": [0, 3]}))["CENTROID_ID"] # doctest:+SKIP
0 1
1 2
Name: CENTROID_ID, dtype: Int64

>>> kmeans.cluster_centers_ # doctest:+ELLIPSIS
>>> kmeans.cluster_centers_ # doctest:+SKIP
centroid_id feature numerical_value categorical_value
0 1 feat0 5.5 []
1 1 feat1 1.0 []
Expand Down
Loading