Tin Theethawat Savastham
commited on
Commit
·
c717e13
1
Parent(s):
7c3bb11
✨ Update the sequence of Jupyter Notebook
Browse files
example/1-Basic-Model-Constructor.ipynb
CHANGED
@@ -57,9 +57,13 @@
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"\n",
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"\n",
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"if run_from_online:\n",
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-
"
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" './tdce-basic',\n",
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" branch='main')\n",
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"\n",
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" # fmt:off\n",
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" sys.path.append('./tdce-basic/model')\n",
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@@ -67,6 +71,12 @@
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" sys.path.append('./tdce-basic/functions')\n",
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" sys.path.append('./tdce-basic/functions/data_extractor')\n",
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"\n",
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" import tdce_model as tdce\n",
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" import material_fc_layer as mfl\n",
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" import employee_fc_layer as efl\n",
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@@ -79,11 +89,7 @@
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" import result_display as rd\n",
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" import mini_plot as mp\n",
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" # fmt:on\n",
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-
"
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" # For online execution, in Google Colab\n",
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" !pip install tensor-sensor\n",
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" except:\n",
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" pass\n",
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"\n",
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"else :\n",
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" # fmt:off\n",
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"\n",
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"\n",
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"if run_from_online:\n",
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" try:\n",
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" repo = git.Repo.clone_from('https://huggingface.co/iaecpsu-1/tdce-basic',\n",
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" './tdce-basic',\n",
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" branch='main')\n",
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" except git.exc.GitCommandError:\n",
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" print(\"Repository already exists or cannot be cloned. Continuing with existing files.\")\n",
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" pass\n",
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"\n",
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" # fmt:off\n",
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" sys.path.append('./tdce-basic/model')\n",
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" sys.path.append('./tdce-basic/functions')\n",
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" sys.path.append('./tdce-basic/functions/data_extractor')\n",
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"\n",
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" try:\n",
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" # For online execution, in Google Colab\n",
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" !pip install tensor-sensor\n",
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" except:\n",
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" pass\n",
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" \n",
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" import tdce_model as tdce\n",
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" import material_fc_layer as mfl\n",
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" import employee_fc_layer as efl\n",
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" import result_display as rd\n",
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" import mini_plot as mp\n",
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" # fmt:on\n",
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" \n",
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"\n",
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"else :\n",
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" # fmt:off\n",
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functions/mini_plot.py
CHANGED
@@ -3,8 +3,7 @@ import matplotlib.pyplot as plt
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import seaborn as sns
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import numpy as np
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sns.set_theme(style="whitegrid",
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font_scale=1)
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this_graph_palette = sns.color_palette("husl", 4)
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sns.set_palette(this_graph_palette)
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import seaborn as sns
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import numpy as np
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sns.set_theme(style="whitegrid", font_scale=1)
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this_graph_palette = sns.color_palette("husl", 4)
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sns.set_palette(this_graph_palette)
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