scikit-learn 0.16.1 發布，Python 機器學習工具包

scikit-learn 是一個 Python 的機器學習項目。是一個簡單高效的數據挖掘和數據分析工具。基于 NumPy、SciPy 和 matplotlib 構建。
scikit-learn 0.16.1 發布，此版本主要修復了以下錯誤：

• Fix a bug in isotonic.IsotonicRegression deduplication that caused unstable result in calibration.CalibratedClassifierCV by Jan Hendrik Metzen.

• Fix sorting of labels in func:preprocessing.label_binarize by Michael Heilman.

• Fix several stability and convergence issues in cross_decomposition.CCA and
  cross_decomposition.PLSCanonical by Andreas Müller

• Fix a bug in cluster.KMeans when precompute_distances=False on fortran-ordered data.

• Fix a speed regression in ensemble.RandomForestClassifier‘s predict and predict_proba by Andreas Müller.

• Fix a regression where utils.shuffle converted lists and dataframes to arrays, by Olivier Grisel

詳細信息請查看發行頁面。

此版本現已提供下載：

https://github.com/scikit-learn/scikit-learn/archive/0.16.1.zip