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SParse Generalized Linear Models (spglm)

SParse Generalized Linear Models (spglm) module is an adaptation of a portion of GLM functionality from the Statsmodels package, this it has been simplified and customized for the purposes of serving as the base for several other PySAL modules, namely SpInt and GWR. Currently, it supports the estimation of Gaussian, Poisson, and Logistic regression using only iteratively weighted least squares estimation (IWLS).

Version: 1.1.0 License: BSD GitHub
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22 build(s) found
Builder Build Number Start Time Elapsed Time Watcher Build Status
11 132393 2023-11-02 23:32:32 0:00:35 38936 build successful
10.13 210085 2023-11-02 23:32:12 0:00:23 69268 build successful
10.15 161321 2023-11-02 23:31:57 0:00:29 49013 build successful
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11.arm64 107150 2023-11-02 23:24:47 0:00:12 38933 failed install-dependencies
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10.9 251492 2023-11-02 23:22:53 0:00:34 78003 build successful
10.7 165421 2023-11-02 23:21:39 0:00:43 50735 failed install-dependencies
10.8 153485 2023-11-02 23:20:09 0:00:22 48791 failed install-dependencies
10.6.x86_64 176907 2023-11-02 23:19:35 0:00:35 50997 failed install-dependencies
10.11 232395 2023-08-18 2:15:28 0:00:28 75544 build successful
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10.6.x86_64 167201 2023-08-18 1:39:40 0:00:23 48107 build successful
13.arm64 32035 2023-08-18 1:28:25 0:00:06 10463 build successful