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ENH accept matrix input throughout
Simple solution: replace np.asanyarray with np.asarray throughout. Also, use utils.as_float_array where appropriate.
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- sklearn/cluster/affinity_propagation_.py 1 addition, 5 deletionssklearn/cluster/affinity_propagation_.py
- sklearn/cluster/hierarchical.py 1 addition, 1 deletionsklearn/cluster/hierarchical.py
- sklearn/cluster/k_means_.py 2 additions, 2 deletionssklearn/cluster/k_means_.py
- sklearn/covariance/empirical_covariance_.py 1 addition, 1 deletionsklearn/covariance/empirical_covariance_.py
- sklearn/covariance/robust_covariance.py 1 addition, 1 deletionsklearn/covariance/robust_covariance.py
- sklearn/covariance/shrunk_covariance_.py 2 additions, 2 deletionssklearn/covariance/shrunk_covariance_.py
- sklearn/cross_validation.py 1 addition, 1 deletionsklearn/cross_validation.py
- sklearn/datasets/base.py 4 additions, 4 deletionssklearn/datasets/base.py
- sklearn/decomposition/dict_learning.py 4 additions, 3 deletionssklearn/decomposition/dict_learning.py
- sklearn/decomposition/sparse_pca.py 2 additions, 2 deletionssklearn/decomposition/sparse_pca.py
- sklearn/gaussian_process/correlation_models.py 12 additions, 12 deletionssklearn/gaussian_process/correlation_models.py
- sklearn/gaussian_process/gaussian_process.py 2 additions, 2 deletionssklearn/gaussian_process/gaussian_process.py
- sklearn/gaussian_process/regression_models.py 3 additions, 3 deletionssklearn/gaussian_process/regression_models.py
- sklearn/hmm.py 9 additions, 9 deletionssklearn/hmm.py
- sklearn/lda.py 4 additions, 4 deletionssklearn/lda.py
- sklearn/linear_model/base.py 13 additions, 21 deletionssklearn/linear_model/base.py
- sklearn/linear_model/bayes.py 4 additions, 4 deletionssklearn/linear_model/bayes.py
- sklearn/linear_model/coordinate_descent.py 2 additions, 3 deletionssklearn/linear_model/coordinate_descent.py
- sklearn/linear_model/least_angle.py 1 addition, 1 deletionsklearn/linear_model/least_angle.py
- sklearn/linear_model/logistic.py 1 addition, 1 deletionsklearn/linear_model/logistic.py
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