scikit-learn Function

A scikit-learn Function is a Python library function within a scikit-learn library.

• AKA: sklearn Function.
• Context:
  • It can be from a scikit-learn Module.
  • It can be from the sklearn.svm Module[1]
  • It can be from the sklearn.naive_bayes Module[2]
  • It can be from the sklearn.linear_model Module[3]
  • It can be from the sklearn.cluster Module[4]
• Counter-Example(s):
  • SciPy Function.
  • numpy Function.
• See: Support Vector Machine, Logistic Regression, Naive Bayes Classifier, Random Forests, Gradient Boosting, k-Means Clustering, DBSCAN.

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References

• http://scikit-learn.org/stable/modules/classes.html

2013

• http://scikit-learn.org/stable/modules/classes.html
  • Base classes for all estimators.
    • base.BaseEstimator Base class for all estimators in scikit-learn.
    • base.ClassifierMixin Mixin class for all classifiers in scikit-learn.
    • base.ClusterMixin Mixin class for all cluster estimators in scikit-learn.
    • base.RegressorMixin Mixin class for all regression estimators in scikit-learn.
    • base.TransformerMixin Mixin class for all transformers in scikit-learn.

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