scikit-learn 0.16.1 发布，Python 机器学习工具包

scikit-learn 是一个 Python 的机器学习项目。是一个简单高效的数据挖掘和数据分析工具。基于 NumPy、SciPy 和 matplotlib 构建。
scikit-learn 0.16.1 发布，此版本主要修复了以下错误：

• 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

详细信息请查看发行页面。

此版本现已提供下载：

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