AttributeError: 'KMeansConstrained' object has no attribute '_check_fit_data' getting while fitting the data about k-means-constrained

[joshlk]

Thank you for the error report. Unfortunately the first opportunity I have to look into this will be in two weeks time. In the meantime can you please provide me the version of python, scikit-learn and ortools you are using. And provide a minimal working example with dummy data. Thanks

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On 14 Feb 2020, at 07:19, Adinarayana Palvadi ***@***.***> wrote:  AttributeError Traceback (most recent call last) in 6 if a>0: 7 km_constrained = KMeansConstrained(n_clusters=a,size_max=4,size_min=3,init='k-means++',n_init=100,random_state=None) ----> 8 km_constrained.fit(X) 9 #k_cons.append(km_constrained) ~\AppData\Local\Continuum\anaconda3.1\lib\site-packages\k_means_constrained-0.2.0-py3.7-win-amd64.egg\k_means_constrained\k_means_constrained_.py in fit(self, X, y) 621 """ 622 random_state = check_random_state(self.random_state) --> 623 X = self.check_fit_data(X) 624 625 self.cluster_centers, self.labels_, self.inertia_, self.n_iter_ = \ AttributeError: 'KMeansConstrained' object has no attribute '_check_fit_data' — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.

[adinarayanaPalvadi]

scikit-learn version is 0.21.2 and
or tools version is 7.5.7466
The dummy code is as follows
X = df_size_7[['Latitude','Longitude']].head(5).values array([[14.6625047, 77.5828207], [14.6975793, 77.5834339], [14.6865696, 77.5916512], [14.6772115, 77.5933416], [14.6780301, 77.5935025]])

KMeansConstrained(n_clusters=5,size_min=2,size_max=1).fit(X)

AttributeError Traceback (most recent call last)
in
----> 1 KMeansConstrained(n_clusters=5,size_min=2,size_max=1).fit(X)

~\AppData\Local\Continuum\anaconda3.1\lib\site-packages\k_means_constrained-0.2.0-py3.7-win-amd64.egg\k_means_constrained\k_means_constrained_.py in fit(self, X, y)
621 """
622 random_state = check_random_state(self.random_state)
--> 623 X = self.check_fit_data(X)
624
625 self.cluster_centers, self.labels_, self.inertia_, self.n_iter_ = \

AttributeError: 'KMeansConstrained' object has no attribute '_check_fit_data'

[joshlk]

@adinarayanaPalvadi The problem should now be fixed with the latest version (v0.3.1). The easiest way to install is using PyPI:
pip install k-means-constrained

[joshlk]

Let me know if you have any problems

[joshlk]

Closing as no reply. Please comment again if you require further help.