- make_blobs() (in module sklearn.datasets), [1]
- make_classification() (in module sklearn.datasets), [1]
- make_friedman1() (in module sklearn.datasets), [1]
- make_friedman2() (in module sklearn.datasets), [1]
- make_friedman3() (in module sklearn.datasets), [1]
- make_low_rank_matrix() (in module sklearn.datasets), [1]
- make_regression() (in module sklearn.datasets), [1]
- make_s_curve() (in module sklearn.datasets), [1]
- make_sparse_coded_signal() (in module sklearn.datasets), [1]
- make_sparse_uncorrelated() (in module sklearn.datasets), [1]
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- make_spd_matrix() (in module sklearn.datasets), [1]
- make_swiss_roll() (in module sklearn.datasets), [1]
- mean_square_error() (in module sklearn.metrics)
- means (sklearn.hmm.GaussianHMM attribute)
- (sklearn.mixture.DPGMM attribute)
- (sklearn.mixture.GMM attribute)
- (sklearn.mixture.VBGMM attribute)
- MeanShift (class in sklearn.cluster)
- MiniBatchDictionaryLearning (class in sklearn.decomposition)
- MiniBatchKMeans (class in sklearn.cluster)
- MiniBatchSparsePCA (class in sklearn.decomposition)
- MultinomialHMM (class in sklearn.hmm)
- MultinomialNB (class in sklearn.naive_bayes)
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