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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/cluster/
H A Dplot_kmeans_assumptions.py30 y_pred = KMeans(n_clusters=2, random_state=random_state).fit_predict(X)
39 y_pred = KMeans(n_clusters=3, random_state=random_state).fit_predict(X_aniso)
49 y_pred = KMeans(n_clusters=3, random_state=random_state).fit_predict(X_varied)
57 y_pred = KMeans(n_clusters=3, random_state=random_state).fit_predict(X_filtered)
H A Dplot_inductive_clustering.py61 y = self.clusterer_.fit_predict(X)
91 cluster_labels = clusterer.fit_predict(X)
H A Dplot_kmeans_silhouette_analysis.py73 cluster_labels = clusterer.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neighbors/tests/
H A Dtest_neighbors_pipeline.py45 labels_compact = est_compact.fit_predict(X)
46 labels_chain = est_chain.fit_predict(X)
94 labels_chain = est_chain.fit_predict(X)
95 labels_compact = est_compact.fit_predict(X)
188 pred_chain = est_chain.fit_predict(X)
189 pred_compact = est_compact.fit_predict(X)
H A Dtest_lof.py48 assert_array_equal(clf.fit_predict(X), 6 * [1] + 2 * [-1])
230 y_pred = clf.fit_predict(X)
/dports/science/py-MDAnalysis/MDAnalysis-0.19.2/MDAnalysis/analysis/encore/clustering/
H A DClusteringMethod.py225 clusters = self.ap.fit_predict(similarity_matrix)
298 clusters = self.dbscan.fit_predict(distance_matrix.as_array())
421 clusters = self.kmeans.fit_predict(coordinates)
/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/tests/
H A Dtest_hdbscan.py328 labels_prims = HDBSCAN(algorithm='generic').fit_predict(data)
329 labels_boruvka = HDBSCAN(algorithm='boruvka_kdtree').fit_predict(data)
349 labels_prims = HDBSCAN(algorithm='generic').fit_predict(data)
350 labels_boruvka = HDBSCAN(algorithm='boruvka_balltree').fit_predict(data)
631 allow_single_cluster=True).fit_predict(no_structure)
641 allow_single_cluster=True).fit_predict(no_structure)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/
H A D_spectral.py635 def fit_predict(self, X, y=None): member in SpectralClustering
657 return super().fit_predict(X, y)
H A D_affinity_propagation.py536 def fit_predict(self, X, y=None): member in AffinityPropagation
555 return super().fit_predict(X, y)
H A D_dbscan.py402 def fit_predict(self, X, y=None, sample_weight=None): member in DBSCAN
H A D_agglomerative.py1033 def fit_predict(self, X, y=None): member in AgglomerativeClustering
1054 return super().fit_predict(X, y)
1242 def fit_predict(self): member in FeatureAgglomeration
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/neighbors/
H A Dplot_lof_outlier_detection.py50 y_pred = clf.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/tests/
H A Dtest_affinity_propagation.py101 labels = af.fit_predict(X)
274 labels = af.fit_predict(X)
H A Dtest_mean_shift.py109 labels = ms.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/mixture/
H A D_base.py198 self.fit_predict(X, y)
201 def fit_predict(self, X, y=None): member in BaseMixture
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/
H A Dplot_anomaly_comparison.py160 y_pred = algorithm.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/bicluster/
H A Dplot_bicluster_newsgroups.py101 y_kmeans = kmeans.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neighbors/
H A D_lof.py230 def fit_predict(self, X, y=None): member in LocalOutlierFactor
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/
H A Doutlier_detection.rst62 but only a ``fit_predict`` method, as this estimator was originally meant to
69 set to ``True`` before fitting the estimator. In this case, ``fit_predict`` is
86 ``fit_predict`` OK Not available
348 ``decision_function`` and ``score_samples`` methods but only a ``fit_predict``
391 Note that ``fit_predict`` is not available in this case.
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/
H A Dbase.py717 def fit_predict(self, X, y=None): member in ClusterMixin
915 def fit_predict(self, X, y=None): member in OutlierMixin
H A Dpipeline.py473 def fit_predict(self, X, y=None, **fit_params): member in Pipeline
506 y_pred = self.steps[-1][1].fit_predict(Xt, y, **fit_params_last_step)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/mixture/tests/
H A Dtest_bayesian_mixture.py511 Y_pred2 = bgmm2.fit_predict(X)
519 y_pred1 = gm.fit_predict(X)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tests/
H A Dtest_pipeline.py128 def fit_predict(self, X, y, should_succeed=False): member in FitParamT
420 separate_pred = km.fit_predict(scaled)
424 pipeline_pred = pipe.fit_predict(iris.data)
445 pipe.fit_predict(
/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/
H A Drobust_single_linkage_.py425 def fit_predict(self, X, y=None): member in RobustSingleLinkage
/dports/misc/orange3/orange3-3.29.1/Orange/widgets/visualize/utils/
H A Dlac.py63 Y = kmeans.fit_predict(X)

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