/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/cluster/ |
H A D | plot_kmeans_assumptions.py | 30 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)
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H A D | plot_inductive_clustering.py | 61 y = self.clusterer_.fit_predict(X) 91 cluster_labels = clusterer.fit_predict(X)
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H A D | plot_kmeans_silhouette_analysis.py | 73 cluster_labels = clusterer.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neighbors/tests/ |
H A D | test_neighbors_pipeline.py | 45 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)
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H A D | test_lof.py | 48 assert_array_equal(clf.fit_predict(X), 6 * [1] + 2 * [-1]) 230 y_pred = clf.fit_predict(X)
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/dports/science/py-MDAnalysis/MDAnalysis-0.19.2/MDAnalysis/analysis/encore/clustering/ |
H A D | ClusteringMethod.py | 225 clusters = self.ap.fit_predict(similarity_matrix) 298 clusters = self.dbscan.fit_predict(distance_matrix.as_array()) 421 clusters = self.kmeans.fit_predict(coordinates)
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/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/tests/ |
H A D | test_hdbscan.py | 328 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)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/ |
H A D | _spectral.py | 635 def fit_predict(self, X, y=None): member in SpectralClustering 657 return super().fit_predict(X, y)
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H A D | _affinity_propagation.py | 536 def fit_predict(self, X, y=None): member in AffinityPropagation 555 return super().fit_predict(X, y)
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H A D | _dbscan.py | 402 def fit_predict(self, X, y=None, sample_weight=None): member in DBSCAN
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H A D | _agglomerative.py | 1033 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
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/neighbors/ |
H A D | plot_lof_outlier_detection.py | 50 y_pred = clf.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/cluster/tests/ |
H A D | test_affinity_propagation.py | 101 labels = af.fit_predict(X) 274 labels = af.fit_predict(X)
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H A D | test_mean_shift.py | 109 labels = ms.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/mixture/ |
H A D | _base.py | 198 self.fit_predict(X, y) 201 def fit_predict(self, X, y=None): member in BaseMixture
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/ |
H A D | plot_anomaly_comparison.py | 160 y_pred = algorithm.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/bicluster/ |
H A D | plot_bicluster_newsgroups.py | 101 y_kmeans = kmeans.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neighbors/ |
H A D | _lof.py | 230 def fit_predict(self, X, y=None): member in LocalOutlierFactor
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/ |
H A D | outlier_detection.rst | 62 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.
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ |
H A D | base.py | 717 def fit_predict(self, X, y=None): member in ClusterMixin 915 def fit_predict(self, X, y=None): member in OutlierMixin
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H A D | pipeline.py | 473 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)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/mixture/tests/ |
H A D | test_bayesian_mixture.py | 511 Y_pred2 = bgmm2.fit_predict(X) 519 y_pred1 = gm.fit_predict(X)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tests/ |
H A D | test_pipeline.py | 128 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(
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/dports/math/py-hdbscan/hdbscan-0.8.27/hdbscan/ |
H A D | robust_single_linkage_.py | 425 def fit_predict(self, X, y=None): member in RobustSingleLinkage
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/dports/misc/orange3/orange3-3.29.1/Orange/widgets/visualize/utils/ |
H A D | lac.py | 63 Y = kmeans.fit_predict(X)
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