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glossary.rst.txt
_glossary: ========== Glossary of Common Terms and API Elements ==========...props`. General Concepts ========== .. glossary:: 1d 1d array...scikit-learn.org/stable/_sources/glossary.rst.txt -
fetch_openml — scikit-learn 1.7.0 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 1.7.0 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 -
Factor Analysis (with rotation) to visualize pa...
cmap = "RdBu_r" , vmin =- 1 , vmax = 1 ) ax . set_xticks...ncols = len ( methods ), figsize = ( 10 , 8 ), sharey = True )...scikit-learn.org/stable/auto_examples/decomposition/plot_varimax_fa.html -
multilabel_confusion_matrix — scikit-learn 1.7....
sample_weight = None , labels = None , samplewise = False ) [source]...multi_confusion (samplewise=True), n_outputs = n_samples. If labels...scikit-learn.org/stable/modules/generated/sklearn.metrics.multilabel_confusion_matrix.html -
1.12. Multiclass and multioutput algorithms — s...
n_informative = 30 , n_classes = 3 , ... random_state = 1 ) >>> y2 = shuffle..., y = datasets . load_iris ( return_X_y = True ) >>> clf = OutputCodeClassifier...scikit-learn.org/stable/modules/multiclass.html -
resample — scikit-learn 1.7.0 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 -
InputTags — scikit-learn 1.7.0 documentation
bool = False , sparse : bool = False , categorical : bool = False...bool = False , dict : bool = False , positive_only : bool = False...scikit-learn.org/stable/modules/generated/sklearn.utils.InputTags.html -
LabelPropagation — scikit-learn 1.7.0 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 -
DummyClassifier — scikit-learn 1.7.0 documentation
strategy = 'prior' , random_state = None , constant = None ) [source]...predictions when strategy='stratified' or strategy='uniform' . Pass an...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html