Jupyter notebooks info
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README.md
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README.md
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@ -52,11 +52,12 @@ pip install --user --upgrade -r requirements.txt
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# witzit scripts
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# witzit scripts
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* `witzit-load.py` --- Load and text display a sample CSV.
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* `witzit-load.py` --- Load and text display an example MCA.
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Development is most easily done under Jupyter with Tensorboard
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Development is most easily done under Jupyter with Tensorboard
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for training models. These files are in the `notebooks/` directory.
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for training models. These files are in the `notebooks/` directory.
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* `witzit-plot.ipynb` --- witzit Jupyter notebook, plotting application.
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* `witzit-predict.ipynb` --- witzit Jupyter notebook, prediction application.
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* `witzit-predict.ipynb` --- witzit Jupyter notebook, prediction application.
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* `witzit-train.ipynb` --- witzit Jupyter notebook, training application.
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* `witzit-train.ipynb` --- witzit Jupyter notebook, training application.
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@ -95,24 +96,26 @@ HOWTO USE. Getting closer...
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```
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```
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# Example:
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# Example:
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debian@workstation:~/spacecruft/witzit$ ./witzit-load.py
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debian@workstation:~/spacecruft/witzit$ ./witzit-load.py
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Tensorflow Version: 2.7.0
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energy (eV) 2048
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Num GPUs Available: 0
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0 20.590676 0
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Num CPUs Available: 1
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1 45.021816 0
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[PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]
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2 69.452957 0
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Pixel Index wavelength intensity
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3 93.884097 0
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0 1 186.551108 13.956667
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...
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1 2 186.647845 9.773333
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1023 25013.647367 175
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2 3 186.744576 19.723333
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1024 25038.078508 173
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3 4 186.841300 17.223333
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1025 25062.509648 155
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4 5 186.938018 16.006667
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1026 25086.940789 193
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... ... ... ...
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...
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8259 8260 960.998400 0.000000
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2047 50031.135199 1
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8260 8261 960.998800 0.000000
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```
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8261 8262 960.999200 0.000000
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8262 8263 960.999600 0.000000
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8263 8264 961.000000 1454.250000
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[8264 rows x 3 columns]
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## Jupyter Notebooks
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Run jupyter thusly:
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```
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cd witzit/notebooks
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jupyter-lab
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```
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```
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# Hardware
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# Hardware
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