scikit-learn 0.16.1 发布,Python 机器学习工具包

jopen 9年前

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


来自:http://www.oschina.net/news/61554/scikit-learn-0-16-1-released