sklearn.datasets.fetch_species_distributions()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_species_distributions(data_home=None, download_if_missing=True)

2025-01-10 15:47:30
sklearn.datasets.fetch_kddcup99()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_kddcup99(subset=None, shuffle=False, random_state=None, percent10=True, download_if_missing=True)

2025-01-10 15:47:30
sklearn.datasets.mldata_filename()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.mldata_filename(dataname)

2025-01-10 15:47:30
sklearn.datasets.load_lfw_people()
  • References/Python/scikit-learn/API Reference/datasets

Warning DEPRECATED

2025-01-10 15:47:30
sklearn.datasets.make_friedman1()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_friedman1(n_samples=100, n_features=10, noise=0.0, random_state=None)

2025-01-10 15:47:30
sklearn.datasets.make_hastie_10_2()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_hastie_10_2(n_samples=12000, random_state=None)

2025-01-10 15:47:30
sklearn.datasets.load_breast_cancer()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.load_breast_cancer(return_X_y=False)

2025-01-10 15:47:30
sklearn.datasets.fetch_mldata()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_mldata(dataname, target_name='label', data_name='data', transpose_data=True, data_home=None)

2025-01-10 15:47:30
sklearn.datasets.fetch_20newsgroups()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_20newsgroups(data_home=None, subset='train', categories=None, shuffle=True, random_state=42, remove=()

2025-01-10 15:47:30
sklearn.datasets.make_circles()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_circles(n_samples=100, shuffle=True, noise=None, random_state=None, factor=0.8)

2025-01-10 15:47:30