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[WIP] Data independent CV and model_selection module #3340

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[WIP] Data independent CV and model_selection module #3340

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030a1cd
Move cross_variation module into model_selection
pignacio Jul 1, 2014
f8c4b04
Move learning_curve module into model_selection.validate
pignacio Jul 1, 2014
9b93e7f
Move grid_search module inside model_selection
pignacio Jul 1, 2014
991e001
Working split method for KFold and StratifiedKFold
pignacio Jul 3, 2014
089f00c
Removed _PartitionTestGenerator
pignacio Jul 10, 2014
ec04270
LeaveOut and LeaveLabelOut working with split
pignacio Jul 10, 2014
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5 changes: 3 additions & 2 deletions sklearn/covariance/graph_lasso_.py
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Expand Up @@ -20,7 +20,8 @@
from ..utils.extmath import pinvh
from ..linear_model import lars_path
from ..linear_model import cd_fast
from ..cross_validation import _check_cv as check_cv, cross_val_score
from ..model_selection.partition import _check_cv as check_cv
from ..model_selection import cross_val_score
from ..externals.joblib import Parallel, delayed
import collections

Expand Down Expand Up @@ -388,7 +389,7 @@ def graph_lasso_path(X, alphas, cov_init=None, X_test=None, mode='cd',


class GraphLassoCV(GraphLasso):
"""Sparse inverse covariance w/ cross-validated choice of the l1 penalty
"""Sparse inverse covariance w/ cross-from .partition import _check_cvvalidated choice of the l1 penalty
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Looks like you have a spurious line here.


Parameters
----------
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