ayethuzar commited on
Commit
a6230e3
·
unverified ·
1 Parent(s): 5f6b124

Update app.py

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Files changed (1) hide show
  1. app.py +3 -12
app.py CHANGED
@@ -9,26 +9,18 @@ from sklearn.preprocessing import MinMaxScaler
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  scaler = MinMaxScaler()
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-
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  # load trained model
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  lgbm_base = pickle.load(open('lgbm_base.pkl', 'rb'))
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  lgbm_opt = pickle.load(open('lgbm_optimized.pkl', 'rb'))
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-
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- tf.random.set_seed(42)
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-
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  np.random.seed(42)
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-
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  st.markdown("<body style ='color:#E2E0D9;'></body>", unsafe_allow_html=True)
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-
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-
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  st.markdown("<h4 style='text-align: center; color: #1B9E91;'>House Price Prediction in Ames,Iowa</h4>", unsafe_allow_html=True)
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  st.markdown("<h5 style='text-align: center; color: #1B9E91;'>A multi-step process is used to estimate the range of house prices based on your selection. </h5>", unsafe_allow_html=True)
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-
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  name_list = [
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  'OverallQual',
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  'YearBuilt',
@@ -53,8 +45,7 @@ name_list_train = [
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  'SaleCondition',
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  'BsmtExposure']
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- data = pd.read_csv('train.csv')
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-
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  data = data[name_list_train].values
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@@ -66,8 +57,8 @@ description_list = [
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  'What is the Total square feet of basement area?',
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  'What is the Above grade (ground) living area in square feet?',
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  'What is the Masonry veneer area in square feet??',
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- 'What is the Quality of basement finished area?',
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- 'Where is the physical locations within Ames city limits?',
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  'Where is the location of the Garage?',
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  'What is the condition of the sale?',
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  'Does the house have walkout or garden-level basement walls?'
 
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  scaler = MinMaxScaler()
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  # load trained model
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  lgbm_base = pickle.load(open('lgbm_base.pkl', 'rb'))
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  lgbm_opt = pickle.load(open('lgbm_optimized.pkl', 'rb'))
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  np.random.seed(42)
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  st.markdown("<body style ='color:#E2E0D9;'></body>", unsafe_allow_html=True)
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  st.markdown("<h4 style='text-align: center; color: #1B9E91;'>House Price Prediction in Ames,Iowa</h4>", unsafe_allow_html=True)
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  st.markdown("<h5 style='text-align: center; color: #1B9E91;'>A multi-step process is used to estimate the range of house prices based on your selection. </h5>", unsafe_allow_html=True)
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  name_list = [
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  'OverallQual',
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  'YearBuilt',
 
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  'SaleCondition',
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  'BsmtExposure']
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+ data = pd.read_csv('data/train.csv')
 
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  data = data[name_list_train].values
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  'What is the Total square feet of basement area?',
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  'What is the Above grade (ground) living area in square feet?',
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  'What is the Masonry veneer area in square feet??',
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+ 'What is the Quality of the basement finished area?',
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+ 'Where are the physical locations within Ames city limits?',
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  'Where is the location of the Garage?',
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  'What is the condition of the sale?',
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  'Does the house have walkout or garden-level basement walls?'