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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/
H A Drandom_projection.rst6 .. currentmodule:: sklearn.random_projection
8 The :mod:`sklearn.random_projection` module implements a simple and
59 >>> from sklearn.random_projection import johnson_lindenstrauss_min_dim
102 >>> from sklearn import random_projection
104 >>> transformer = random_projection.GaussianRandomProjection()
143 >>> from sklearn import random_projection
145 >>> transformer = random_projection.SparseRandomProjection()
H A Dunsupervised_reduction.rst34 The module: :mod:`random_projection` provides several tools for data
36 documentation: :ref:`random_projection`.
H A Dclasses.rst1453 :mod:`sklearn.random_projection`: Random projection
1456 .. automodule:: sklearn.random_projection
1460 **User guide:** See the :ref:`random_projection` section for further details.
1468 random_projection.GaussianRandomProjection
1469 random_projection.SparseRandomProjection
1475 random_projection.johnson_lindenstrauss_min_dim
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tests/
H A Dtest_random_projection.py10 from sklearn.random_projection import johnson_lindenstrauss_min_dim
11 from sklearn.random_projection import _gaussian_random_matrix
12 from sklearn.random_projection import _sparse_random_matrix
13 from sklearn.random_projection import SparseRandomProjection
14 from sklearn.random_projection import GaussianRandomProjection
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/
H A Dplot_johnson_lindenstrauss_bound.py21 from sklearn.random_projection import johnson_lindenstrauss_min_dim
22 from sklearn.random_projection import SparseRandomProjection
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/
H A Ddata_transforms.rst38 modules/random_projection
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/whats_new/
H A Dv0.13.rst82 - :class:`random_projection.GaussianRandomProjection`,
83 :class:`random_projection.SparseRandomProjection` and the function
84 :func:`random_projection.johnson_lindenstrauss_min_dim`. The first two are
87 See :ref:`random_projection` in the user guide.
H A Dv0.18.rst54 - :class:`random_projection.SparseRandomProjection`
/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/manifold/
H A Dplot_lle_digits.py112 from sklearn.random_projection import SparseRandomProjection
/dports/devel/nuitka/Nuitka-0.6.17/nuitka/plugins/standard/
H A Danti-bloat.yml33 sklearn.random_projection:
/dports/math/py-theano/Theano-1.0.5/theano/
H A Dgradient.py1748 def random_projection(): function
1754 t_r = shared(random_projection(), borrow=True)
1799 t_r.set_value(random_projection(), borrow=True)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/tutorial/basic/
H A Dtutorial.rst219 >>> from sklearn import random_projection
227 >>> transformer = random_projection.GaussianRandomProjection()
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/tests/
H A Dtest_bagging.py24 from sklearn.random_projection import SparseRandomProjection
/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/
H A Dtest_utils.py1149 def random_projection(shape): function
1193 [("__random_proj", mx.nd.array(random_projection(out_shape[0]),
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/
H A Dtest_utils.py1149 def random_projection(shape): function
1193 [("__random_proj", mx.nd.array(random_projection(out_shape[0]),
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/tests/
H A Dtest_validation.py30 from sklearn.random_projection import _sparse_random_matrix
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/tests/
H A Dtest_impute.py26 from sklearn.random_projection import _sparse_random_matrix
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/metrics/tests/
H A Dtest_ranking.py12 from sklearn.random_projection import _sparse_random_matrix
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tree/tests/
H A Dtest_tree.py21 from sklearn.random_projection import _sparse_random_matrix
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/
H A Destimator_checks.py46 from ..random_projection import BaseRandomProjection
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/recommenders/
H A Ddemo2-dssm.ipynb25 "from sklearn.random_projection import johnson_lindenstrauss_min_dim\n"
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/recommenders/
H A Ddemo2-dssm.ipynb25 "from sklearn.random_projection import johnson_lindenstrauss_min_dim\n"