a2.py 文件源码

def cross_validation_accuracy(clf, X, labels, k):
    """
    Compute the average testing accuracy over k folds of cross-validation. You
    can use sklearn's KFold class here (no random seed, and no shuffling
    needed).

    Params:
      clf......A LogisticRegression classifier.
      X........A csr_matrix of features.
      labels...The true labels for each instance in X
      k........The number of cross-validation folds.

    Returns:
      The average testing accuracy of the classifier
      over each fold of cross-validation.
    """
    ###TODO
    pass