Update app.py
Browse files
app.py
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@@ -1,11 +1,11 @@
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import streamlit as st
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from transformers import pipeline
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from sklearn.datasets import fetch_california_housing
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from sklearn.model_selection import train_test_split
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from sklearn.preprocessing import StandardScaler
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from sklearn.linear_model import LinearRegression
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from sklearn.metrics import mean_squared_error, r2_score
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# # Load the California Housing dataset
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# data = fetch_california_housing(as_frame=True)
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import streamlit as st
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from transformers import pipeline
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# from sklearn.datasets import fetch_california_housing
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# from sklearn.model_selection import train_test_split
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# from sklearn.preprocessing import StandardScaler
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# from sklearn.linear_model import LinearRegression
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# from sklearn.metrics import mean_squared_error, r2_score
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# # Load the California Housing dataset
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# data = fetch_california_housing(as_frame=True)
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