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DOC/API: integrate make_sparse_spd_matrix
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GaelVaroquaux committed Nov 10, 2011
1 parent f6d28c3 commit dfd4689
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2 changes: 1 addition & 1 deletion doc/datasets/index.rst
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Expand Up @@ -97,7 +97,7 @@ can be used to build artifical datasets of controled size and complexity.
make_spd_matrix
make_swiss_roll
make_s_curve

make_sparse_spd_matrix

.. _libsvm_loader:

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2 changes: 1 addition & 1 deletion doc/modules/covariance.rst
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Expand Up @@ -232,7 +232,7 @@ paper. It is the same algorithm as in the R `glasso` package.
covariance estimators.

* :ref:`example_applications_plot_stock_market.py`: example on real
stock market data, finding which symbols are most linked.
stock market data, finding which symbols are most linked.

.. topic:: References:

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2 changes: 1 addition & 1 deletion examples/covariance/plot_sparse_cov.py
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import numpy as np
from scipy import linalg
from sklearn.datasets.samples_generator import make_sparse_spd_matrix
from sklearn.datasets import make_sparse_spd_matrix
from sklearn.covariance import GraphLassoCV, ledoit_wolf
import pylab as pl

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1 change: 1 addition & 0 deletions sklearn/datasets/__init__.py
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from .samples_generator import make_spd_matrix
from .samples_generator import make_swiss_roll
from .samples_generator import make_s_curve
from .samples_generator import make_sparse_spd_matrix
from .svmlight_format import load_svmlight_file
from .svmlight_format import load_svmlight_files
from .svmlight_format import dump_svmlight_file
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