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@@ -23,16 +23,31 @@ Then, download the gzip file, unzip to any folder and execute TSAnalyst. | |
Windows: [TSAnalyst-0.99.2-win64.exe](https://zenodo.org/record/5077939#.YOZHmDPitPY) | ||
Linux: [TSAnalyst-0.99.2-Linux.tar.gz](https://zenodo.org/record/5077939#.YOZHmDPitPY) | ||
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### Compile with source | ||
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Advanced users and Mac users can compile the source codes. Required dependencies: | ||
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1. [Anaconda for python (python version >= 3.6)](https://www.anaconda.com/) | ||
2. [R (>= 4.0)](https://www.r-project.org/) | ||
3. [PyQt5](https://pypi.org/project/PyQt5/) | ||
4. [RPy2](https://pypi.org/project/rpy2/) | ||
* [Anaconda for python (python version >= 3.6)](https://www.anaconda.com/) | ||
* [R (>= 4.0)](https://www.r-project.org/) | ||
* [PyQt5](https://pypi.org/project/PyQt5/) | ||
* [RPy2](https://pypi.org/project/rpy2/) | ||
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Then, clone the repository and enter: | ||
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git clone https://github.com/hcji/TSAnalyst.git | ||
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Next, compile the source | ||
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pyinstaller TSAnalyst.py -w -i ./img/TPCA.ico --hidden-import=“sklearn.utils._weight_vector” | ||
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Just run */dist/TSAnalyst.exe* | ||
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### Document | ||
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The detailed usage is included in the [help document](https://github.com/hcji/TSAnalyst/blob/master/TSAnalyst%20Desktop%20Tutorial.docx) | ||
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pyinstaller TSAnalyst.py -w -i ./img/TPCA.ico --hidden-import=“sklearn.utils._weight_vector” | ||
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### Contact | ||
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E-mail: [email protected] |