state jurisdiction v2
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parent
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commit
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@ -52,14 +52,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 23,
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"id": "ea8069f7-de8e-454c-8eac-9fb7cc0df626",
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"metadata": {},
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"outputs": [],
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"source": [
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"def jurisdiction(path_in, path_out): \n",
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" with open(path_in, 'r', encoding='utf8') as file:\n",
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" lines = file.readlines() \n",
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" lines = file.readlines()\n",
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" lines = lines.replace('.', ' ').replace(',', ' ').lower()\n",
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" with open(path_out, 'wt')as file_out:\n",
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" for i in lines:\n",
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" file_out.write(\"jurisdiction=\"+str(state_prediction(i))+'\\n') \n",
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@ -80,7 +81,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 24,
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"id": "594a25a9-a0ce-4de9-82c8-df50a4ecac39",
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"metadata": {},
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"outputs": [
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@ -89,7 +90,7 @@
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"output_type": "stream",
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"text": [
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"[NbConvertApp] Converting notebook run.ipynb to script\n",
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"[NbConvertApp] Writing 1634 bytes to run.py\n"
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"[NbConvertApp] Writing 1697 bytes to run.py\n"
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]
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}
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],
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@ -35,12 +35,13 @@ def state_prediction(text_in):
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return max(state_dict, key=state_dict.get)
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# In[20]:
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# In[23]:
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def jurisdiction(path_in, path_out):
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with open(path_in, 'r', encoding='utf8') as file:
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lines = file.readlines()
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lines = file.readlines()
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lines = lines.replace('.', ' ').replace(',', ' ').lower()
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with open(path_out, 'wt')as file_out:
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for i in lines:
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file_out.write("jurisdiction="+str(state_prediction(i))+'\n')
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@ -55,7 +56,7 @@ jurisdiction('train/in.tsv', 'train/out.tsv')
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jurisdiction('test-A/in.tsv', 'test-A/out.tsv')
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# In[ ]:
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# In[22]:
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# get_ipython().system('jupyter nbconvert --to script run.ipynb')
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@ -52,14 +52,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 20,
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"execution_count": 23,
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"id": "ea8069f7-de8e-454c-8eac-9fb7cc0df626",
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"metadata": {},
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"outputs": [],
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"source": [
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"def jurisdiction(path_in, path_out): \n",
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" with open(path_in, 'r', encoding='utf8') as file:\n",
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" lines = file.readlines() \n",
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" lines = file.readlines()\n",
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" lines = lines.replace('.', ' ').replace(',', ' ').lower()\n",
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" with open(path_out, 'wt')as file_out:\n",
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" for i in lines:\n",
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" file_out.write(\"jurisdiction=\"+str(state_prediction(i))+'\\n') \n",
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@ -80,7 +81,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 24,
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"id": "594a25a9-a0ce-4de9-82c8-df50a4ecac39",
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"metadata": {},
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"outputs": [
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@ -89,7 +90,7 @@
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"output_type": "stream",
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"text": [
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"[NbConvertApp] Converting notebook run.ipynb to script\n",
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"[NbConvertApp] Writing 1634 bytes to run.py\n"
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"[NbConvertApp] Writing 1697 bytes to run.py\n"
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]
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}
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],
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7
run.py
7
run.py
@ -35,12 +35,13 @@ def state_prediction(text_in):
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return max(state_dict, key=state_dict.get)
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# In[20]:
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# In[23]:
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def jurisdiction(path_in, path_out):
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with open(path_in, 'r', encoding='utf8') as file:
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lines = file.readlines()
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lines = file.readlines()
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lines = lines.replace('.', ' ').replace(',', ' ').lower()
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with open(path_out, 'wt')as file_out:
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for i in lines:
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file_out.write("jurisdiction="+str(state_prediction(i))+'\n')
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@ -55,7 +56,7 @@ jurisdiction('train/in.tsv', 'train/out.tsv')
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jurisdiction('test-A/in.tsv', 'test-A/out.tsv')
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# In[ ]:
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# In[22]:
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# get_ipython().system('jupyter nbconvert --to script run.ipynb')
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