图 书 馆
机器学习Machine Learning Py (mlpy) |
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| 课程网址: | http://videolectures.net/mloss08_albanese_mlp/ |
| 主讲教师: | Davide Albanese |
| 开课单位: | 布鲁诺凯斯勒基金会 |
| 开课时间: | 2008-12-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We introduce mlpy, a high-performance Python package for predictive modeling. It makes extensive use of NumPy to provide fast N-dimensional array manipulation and easy integration of C code. Mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for predictive classification and feature selection. Methods are available for feature weighting and ranking, data resampling, error evaluation and experiment landscaping. The package includes tools to measure stability in sets of ranked feature lists, of special interest in bioinformatics for functional genomics, for which large scale experiments with up to 106 classifiers have been run on Linux clusters and on the Grid. |
| 关 键 词: | 预测建模; 数组操作; 高级程序 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-07-02：cwx |
| 阅读次数: | 90 |