- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 1,445 for = (0.05 sec)
-
ShuffleSplit — scikit-learn 1.5.0 documentation
ShuffleSplit(n_splits=5, random_state=0, test_size=0.25, train_size=None) >>>...n_splits = 10 , * , test_size = None , train_size = None , random_state...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
Compressive sensing: tomography reconstruction ...
hspace = 0.01 , wspace = 0.01 , top = 1 , bottom = 0 , left = 0 ,...x , dx = 1 , orig = 0 ): x = np . ravel ( x ) floor_x = np . floor...scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html -
Simple 1D Kernel Density Estimation — scikit-le...
if x == 0 : return "0" elif x == 1 : return "h" elif x == - 1...( left = 0.05 , right = 0.95 , hspace = 0.05 , wspace = 0.05 )...scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html -
Faces dataset decompositions — scikit-learn 1.5...
_ = fetch_olivetti_faces ( return_X_y = True , shuffle = True...n_col = 2 , 3 n_components = n_row * n_col image_shape = ( 64...scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html -
Comparing different hierarchical linkage method...
selection X = StandardScaler () . fit_transform ( X ) # ========== # Create...Create cluster objects # ========== ward = cluster . AgglomerativeCluster...scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html -
TimeSeriesSplit — scikit-learn 1.5.0 documentation
TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None) >>>...n_splits = 5 , * , max_train_size = None , test_size = None , gap...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
MiniBatchDictionaryLearning — scikit-learn 1.5....
n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
Tweedie regression on insurance claims — scikit...
y_label = None , title = None , ax = None , fill_legend = False..."ClaimAmount" ] == 0 ) & ( df [ "ClaimNb" ] >= 1 ), "ClaimNb" ] = 0 log_scale_transformer...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
Agglomerative clustering with different metrics...
lines = plt . plot ( X [ y == l ] . T , c = color , alpha = 0.5...i , j ] = pairwise_distances ( X [ y == i ], X [ y == j ], metric...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html -
Release Highlights for scikit-learn 1.1 — sciki...
random_state = 0 ) km = KMeans ( n_clusters = 5 , random_state = 0 , n_init...10 , num = 2000 ) X = X_1d . reshape ( - 1 , 1 ) y = X_1d * np...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html