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Merge pull request #44 from NREL/gb/py_version
updated python requirement >= 3.8
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@@ -28,10 +28,10 @@ phygnn | |
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.. image:: https://zenodo.org/badge/276492167.svg | ||
:target: https://zenodo.org/badge/latestdoi/276492167 | ||
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.. image:: https://mybinder.org/badge_logo.svg | ||
:target: https://mybinder.org/v2/gh/NREL/PHYGNN/HEAD | ||
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**phygnn** (fi-geon | \ ˈfi-jən) noun. | ||
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@@ -53,8 +53,8 @@ here. <https://nrel.github.io/phygnn/_autosummary/phygnn.phygnn.PhysicsGuidedNeu | |
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For example notebooks using the phygnn architecture for regression, | ||
classification, and even GAN applications, see `the example notebooks here | ||
<https://github.com/NREL/phygnn/tree/master/examples>`_. | ||
You can also run the examples using a free cloud-hosted jupyter instance via | ||
<https://github.com/NREL/phygnn/tree/master/examples>`_. | ||
You can also run the examples using a free cloud-hosted jupyter instance via | ||
`Binder <https://mybinder.org/v2/gh/NREL/PHYGNN/HEAD>`_. | ||
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At the National Renewable Energy Lab (NREL), we are using the phygnn framework | ||
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@@ -101,9 +101,9 @@ Installation | |
Simple Install | ||
-------------- | ||
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1. Use conda (anaconda or miniconda with python 3.7 or 3.8) to create a phygnn environment: ``conda create --name phygnn python=3.7`` | ||
1. Use conda (anaconda or miniconda) to create a phygnn environment: ``conda create --name phygnn python=3.9`` | ||
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i. Note that phygnn is tested with python 3.7 and 3.8 via pip install. Users have reported issues installing phygnn on python 3.8 using conda install. | ||
i. Note that phygnn is tested with python >= 3.8 via pip install. Users have reported issues installing phygnn using conda install. | ||
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2. Activate your new conda env: ``conda activate phygnn`` | ||
3. Install with pip or conda: | ||
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@@ -115,7 +115,7 @@ Simple Install | |
Developer Install | ||
----------------- | ||
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1. Use conda (anaconda or miniconda with python 3.7 or 3.8) to create a phygnn environment: ``conda create --name phygnn python=3.7`` | ||
1. Use conda (anaconda or miniconda) to create a phygnn environment: ``conda create --name phygnn python=3.9`` | ||
2. Activate your new conda env: ``conda activate phygnn`` | ||
3. Clone the phygnn repository: ``git clone [email protected]:NREL/phygnn.git`` | ||
4. Navigate to the cloned repo and checkout your desired branch: ``git checkout main`` or ``git checkout <branch>`` | ||
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# -*- coding: utf-8 -*- | ||
"""Physics Guided Neural Network version.""" | ||
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__version__ = '0.0.24' | ||
__version__ = '0.0.25' |
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