- Sort Score
- Num 10 results
- Language All
- Labels All
Results 3421 - 3430 of over 10,000 for * (5.7 seconds)
Filter
-
make_s_curve — scikit-learn 1.8.0 documentation
noise = 0.05 , random_state = 0 ) >>> X . shape (100, 3) >>>...make_s_curve ( n_samples = 100 , * , noise = 0.0 , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html -
MetaEstimatorMixin — scikit-learn 1.8.0 documen...
Changed in version 1.6: The _required_parameters is...scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
PCA — scikit-learn 1.8.0 documentation
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...of range [0.0, infinity). Added in version 0.18.0. iterated_power...scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html -
AdaBoostRegressor — scikit-learn 1.8.0 document...
rs=100, random_state=0) >>> regr . predict ([[ 0 , 0 , 0 , 0...the range [1, inf) . learning_rate float, default=1.0 Weight applied...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
FastICA — scikit-learn 1.8.0 documentation
tol = 0.0001 , w_init = None , whiten_solver...fun_args will take value {‘alpha’ : 1.0}. max_iter int, default=200 Maximum...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html -
load_digits — scikit-learn 1.8.0 documentation
default=10 The number of classes to return. Between 0 and 10. return_X_y...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Label Propagation...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html -
make_friedman3 — scikit-learn 1.8.0 documentation
intervals: 0 <= X [:, 0 ] <= 100 , 40 * pi <= X [:, 1 ] <= 560...make_friedman3 ( n_samples = 100 , * , noise = 0.0 , random_state = None...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
make_sparse_coded_signal — scikit-learn 1.8.0 d...
shape (100, 10) >>> code . shape (50, 100) Gallery examples...... n_components = 100 , ... n_features = 10 , ... n_nonzero_coefs...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
LatentDirichletAllocation — scikit-learn 1.8.0 ...
array([[0.00360392, 0.25499205, 0.0036211 , 0.64236448, 0.09541846],...0.09541846], [0.15297572, 0.00362644, 0.44412786, 0.39568399, 0.003586...scikit-learn.org/stable/modules/generated/sklearn.decomposition.LatentDirichletAllocation.html -
StackingRegressor — scikit-learn 1.8.0 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html