class turicreate.kmeans.KmeansModel(model)

K-means clustering model. A k-means model object contains the results of running kmeans clustering on a dataset. Queryable fields include a cluster id for each vertex, as well as the centers of the clusters.

This model cannot be constructed directly. Instead, use turicreate.kmeans.create() to create an instance of this model. A detailed list of parameter options and code samples are available in the documentation for the create function.


KmeansModel.predict(self, dataset[, …]) Return predicted cluster label for instances in the new ‘dataset’.
KmeansModel.save(self, location) Save the model.
KmeansModel.summary(self[, output]) Print a summary of the model.