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MultiVariate Pattern Analysis (MVPA) in Python.

PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets.

Version: 2.6.5 License: MIT GitHub
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32 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
10.14 184348 2023-10-23 3:01:46 0:00:16 59645 build successful
10.8 152314 2023-10-23 2:56:37 0:00:14 48411 build successful
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10.12 248322 2023-10-23 2:34:17 0:00:19 76836 build successful
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13.arm64 39397 2023-10-23 2:09:24 0:00:05 12974 build successful
10.6.x86_64 175648 2023-10-23 2:04:02 0:00:24 50616 build successful
10.6 140278 2023-10-23 2:03:34 0:00:49 50574 failed install-dependencies
10.7 164225 2023-10-23 1:59:26 0:00:17 50355 build successful
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12.arm64 14096 2021-11-14 4:34:08 0:03:14 1023 build successful
10.7 62569 2021-07-18 7:21:18 0:06:31 20008 build successful
10.7 61612 2021-07-13 13:13:20 0:01:13 19894 failed install-dependencies
10.6.x86_64 47633 2021-02-12 12:41:33 0:02:35 14689 build successful
11 19388 2021-02-04 14:29:39 0:04:46 2657 build successful
10.7 43389 2021-02-04 7:24:41 0:00:55 14666 failed install-dependencies
10.6.x86_64 18344 2020-02-02 8:29:25 0:00:52 3945 failed install-dependencies
10.7 16700 2020-02-02 7:59:52 0:00:39 3923 failed install-dependencies
10.6.x86_64 12200 2019-12-07 20:18:59 0:00:59 2481 failed install-dependencies
10.7 11388 2019-12-07 19:52:56 0:00:39 2479 failed install-dependencies
10.15 8350 2019-12-01 9:31:47 0:04:27 1042 build successful
10.12 96460 2019-08-13 4:10:08 0:04:35 25639 build successful
10.10 92233 2019-08-13 3:01:56 0:03:04 26699 build successful
10.14 36031 2019-08-13 2:54:37 0:03:13 8334 build successful
10.9 94400 2019-08-13 1:54:36 0:03:18 26645 build successful
10.13 61811 2019-08-13 1:26:30 0:03:11 17619 build successful
10.11 91722 2019-08-13 1:06:58 0:03:01 26656 build successful