- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 581 - 590 of 1,971 for = (0.38 sec)
-
resample — scikit-learn 1.7.2 documentation
replace = True , n_samples = None , random_state = None , stratify...y , n_samples = 5 , replace = False , stratify = y , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
Principal Component Analysis (PCA) on Iris Data...
projection = "3d" , elev =- 150 , azim = 110 ) X_reduced = PCA ( n_components...PCA fig = plt . figure ( 1 , figsize = ( 8 , 6 )) ax = fig . add_subplot...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
RFE — scikit-learn 1.7.2 documentation
n_features_to_select = None , step = 1 , verbose = 0 , importance_getter = 'auto'...X , y = make_friedman1 ( n_samples = 50 , n_features = 10 , random_state...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
fetch_openml — scikit-learn 1.7.2 documentation
n_retries : int = 3 , delay : float = 1.0 , parser : str = 'auto' ,...: str | None = None , * , version : str | int = 'active' , data_id...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html -
Birch — scikit-learn 1.7.2 documentation
threshold = 0.5 , branching_factor = 50 , n_clusters = 3 , compute_labels...compute_labels = True , copy = 'deprecated' ) [source] # Implements...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
An example of K-Means++ initialization — scikit...
data n_samples = 4000 n_components = 4 X , y_true = make_blobs (...n_samples = n_samples , centers = n_components , cluster_std = 0.60...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
Isotonic Regression — scikit-learn 1.7.2 docume...
check_random_state n = 100 x = np . arange ( n ) rs = check_random_state...models: ir = IsotonicRegression ( out_of_bounds = "clip" ) y_ = ir ....scikit-learn.org/stable/auto_examples/miscellaneous/plot_isotonic_regression.html -
Developing scikit-learn estimators — scikit-lea...
method: clf2 = SGDClassifier ( alpha = 2.3 ) clf3 = SGDClassifier...self , param1 = 1 , param2 = 2 ): self . param1 = param1 self ....scikit-learn.org/stable/developers/develop.html -
inplace_row_scale — scikit-learn 1.7.2 document...
indptr = np . array ([ 0 , 2 , 3 , 4 , 5 ]) >>> indices = np ....>>> data = np . array ([ 8 , 1 , 2 , 5 , 6 ]) >>> scale = np . array...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
LabelPropagation — scikit-learn 1.7.2 documenta...
LabelPropagation ( kernel = 'rbf' , * , gamma = 20 , n_neighbors = 7 , max_iter...max_iter = 1000 , tol = 0.001 , n_jobs = None ) [source] # Label Propagation...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html