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self-hosting-lineapy/examples
use_cases/predict_house_price
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"metadata": {
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"tags": []
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},
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- "outputs": [
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "generated new fontManager \n"
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- ]
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- }
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- ],
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+ "outputs": [],
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"source": [
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"# Set option so plots in EDA are visible\n",
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"%matplotlib inline\n",
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"\n",
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"import lineapy\n",
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- "lineapy.options.set(\"is_demo\", True)"
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+ "\n",
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+ "lineapy.tag(\"Self-hosting Demo\")"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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- "version": "3.10.6 "
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+ "version": "3.9.7 "
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}
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},
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"nbformat": 4,
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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- "lineapy.options.set (\"is_demo\", True )"
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+ "lineapy.tag (\"API Basics Demo\" )"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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- "version": "3.10.3 "
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+ "version": "3.9.7 "
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}
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},
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"nbformat": 4,
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" import matplotlib.pyplot as plt\n " ,
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" from sklearn.linear_model import LinearRegression\n " ,
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" \n " ,
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- " lineapy.options.set (\" is_demo \" , True )"
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+ " lineapy.tag (\" Refactoring Code Demo \" )"
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]
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},
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{
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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"pygments_lexer" : " ipython3" ,
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- "version" : " 3.10.3 "
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+ "version" : " 3.9.7 "
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}
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},
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"nbformat" : 4 ,
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" import matplotlib.pyplot as plt\n " ,
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" from sklearn.linear_model import LinearRegression\n " ,
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" \n " ,
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- " lineapy.options.set (\" is_demo \" , True )"
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+ " lineapy.tag (\" Refactoring Code Demo \" )"
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]
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},
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{
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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"pygments_lexer" : " ipython3" ,
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- "version" : " 3.10.3 "
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+ "version" : " 3.9.7 "
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}
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},
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"nbformat" : 4 ,
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"source" : [
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" # NBVAL_IGNORE_OUTPUT\n " ,
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" import lineapy\n " ,
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- " lineapy.options.set (\" is_demo \" , True )"
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+ " lineapy.tag (\" Building Parameterized Pipelines Demo \" )"
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]
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},
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{
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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"pygments_lexer" : " ipython3" ,
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- "version" : " 3.10.3 "
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+ "version" : " 3.9.7 "
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}
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},
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"nbformat" : 4 ,
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" # NBVAL_SKIP\n " ,
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" import pyperclip\n " ,
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" import lineapy\n " ,
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- " lineapy.options.set (\" is_demo \" , True )"
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+ " lineapy.tag (\" Adding Library Annotations Demo A \" )"
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]
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},
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{
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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"pygments_lexer" : " ipython3" ,
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- "version" : " 3.10.3 "
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+ "version" : " 3.9.7 "
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}
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},
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"nbformat" : 4 ,
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" from .sample_user_class import MyClass\n " ,
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" \n " ,
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" import lineapy\n " ,
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- " lineapy.options.set (\" is_demo \" , True )"
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+ " lineapy.tag (\" Adding Library Annotations Demo B \" )"
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]
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},
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{
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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"pygments_lexer" : " ipython3" ,
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- "version" : " 3.10.3 "
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+ "version" : " 3.9.7 "
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}
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},
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"nbformat" : 4 ,
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"%matplotlib inline\n",
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"\n",
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"import lineapy\n",
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- "lineapy.options.set (\"is_demo\", True )"
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+ "lineapy.tag (\"Housing Price Demo\" )"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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- "version": "3.10.3 "
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+ "version": "3.9.7 "
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}
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},
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"nbformat": 4,
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