random_projection.GaussianRandomProjection()
  • References/Python/scikit-learn/API Reference/random_projection

class sklearn.random_projection.GaussianRandomProjection(n_components='auto', eps=0.1, random_state=None)

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preprocessing.MinMaxScaler()
  • References/Python/scikit-learn/API Reference/preprocessing

class sklearn.preprocessing.MinMaxScaler(feature_range=(0, 1), copy=True)

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sklearn.svm.l1_min_c()
  • References/Python/scikit-learn/API Reference/svm

sklearn.svm.l1_min_c(X, y, loss='squared_hinge', fit_intercept=True, intercept_scaling=1.0)

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model_selection.LeavePOut()
  • References/Python/scikit-learn/API Reference/model_selection

class sklearn.model_selection.LeavePOut(p)

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linear_model.MultiTaskElasticNet()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.MultiTaskElasticNet(alpha=1.0, l1_ratio=0.5, fit_intercept=True, normalize=False, copy_X=True,

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feature_extraction.text.TfidfVectorizer()
  • References/Python/scikit-learn/API Reference/feature_extraction

class sklearn.feature_extraction.text.TfidfVectorizer(input=u'content', encoding=u'utf-8', decode_error=u'strict',

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sklearn.preprocessing.maxabs_scale()
  • References/Python/scikit-learn/API Reference/preprocessing

sklearn.preprocessing.maxabs_scale(X, axis=0, copy=True)

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cross_validation.KFold()
  • References/Python/scikit-learn/API Reference/cross_validation

Warning DEPRECATED class

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linear_model.LogisticRegressionCV()
  • References/Python/scikit-learn/API Reference/linear_model

class sklearn.linear_model.LogisticRegressionCV(Cs=10, fit_intercept=True, cv=None, dual=False, penalty='l2', scoring=None

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sklearn.datasets.mldata_filename()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.mldata_filename(dataname)

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