/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/ |
H A D | random_projection.rst | 6 .. 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()
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H A D | unsupervised_reduction.rst | 34 The module: :mod:`random_projection` provides several tools for data 36 documentation: :ref:`random_projection`.
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H A D | classes.rst | 1453 :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
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tests/ |
H A D | test_random_projection.py | 10 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
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/miscellaneous/ |
H A D | plot_johnson_lindenstrauss_bound.py | 21 from sklearn.random_projection import johnson_lindenstrauss_min_dim 22 from sklearn.random_projection import SparseRandomProjection
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/ |
H A D | data_transforms.rst | 38 modules/random_projection
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/whats_new/ |
H A D | v0.13.rst | 82 - :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.
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H A D | v0.18.rst | 54 - :class:`random_projection.SparseRandomProjection`
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/examples/manifold/ |
H A D | plot_lle_digits.py | 112 from sklearn.random_projection import SparseRandomProjection
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/dports/devel/nuitka/Nuitka-0.6.17/nuitka/plugins/standard/ |
H A D | anti-bloat.yml | 33 sklearn.random_projection:
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/dports/math/py-theano/Theano-1.0.5/theano/ |
H A D | gradient.py | 1748 def random_projection(): function 1754 t_r = shared(random_projection(), borrow=True) 1799 t_r.set_value(random_projection(), borrow=True)
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/tutorial/basic/ |
H A D | tutorial.rst | 219 >>> from sklearn import random_projection 227 >>> transformer = random_projection.GaussianRandomProjection()
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/tests/ |
H A D | test_bagging.py | 24 from sklearn.random_projection import SparseRandomProjection
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/dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
H A D | test_utils.py | 1149 def random_projection(shape): function 1193 [("__random_proj", mx.nd.array(random_projection(out_shape[0]),
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
H A D | test_utils.py | 1149 def random_projection(shape): function 1193 [("__random_proj", mx.nd.array(random_projection(out_shape[0]),
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/tests/ |
H A D | test_validation.py | 30 from sklearn.random_projection import _sparse_random_matrix
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/impute/tests/ |
H A D | test_impute.py | 26 from sklearn.random_projection import _sparse_random_matrix
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/metrics/tests/ |
H A D | test_ranking.py | 12 from sklearn.random_projection import _sparse_random_matrix
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/tree/tests/ |
H A D | test_tree.py | 21 from sklearn.random_projection import _sparse_random_matrix
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/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/utils/ |
H A D | estimator_checks.py | 46 from ..random_projection import BaseRandomProjection
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/recommenders/ |
H A D | demo2-dssm.ipynb | 25 "from sklearn.random_projection import johnson_lindenstrauss_min_dim\n"
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/recommenders/ |
H A D | demo2-dssm.ipynb | 25 "from sklearn.random_projection import johnson_lindenstrauss_min_dim\n"
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