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fschwartzer
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7bc3e68
1
Parent(s):
6827a2d
Update app.py
Browse files
app.py
CHANGED
@@ -307,7 +307,7 @@ with st.container():
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download_placeholder.markdown(href, unsafe_allow_html=True)
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folium_layermap = folium.Map(location=[
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# Add heatmap layers for 'Valor_Urb', 'Valor_Eqp', and 'RENDA'
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add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Urb', 'RdBu_r')
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@@ -351,7 +351,7 @@ if 'Predicted_target' in filtered_data.columns and not np.all(predicted_target =
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mean_value = np.mean(filtered_data['Predicted_target'])
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# Display the results with custom styling
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st.markdown("## **Algoritmo **")
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st.write(f"Valor médio (Reais/m²) para as características selecionadas: ${mean_value:.2f}$ Reais")
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st.write(f"Os valores podem variar entre ${lower_bound:.2f}$ e ${higher_bound:.2f}$ Reais, dependendo das características dos imóveis.")
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else:
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download_placeholder.markdown(href, unsafe_allow_html=True)
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folium_layermap = folium.Map(location=[custom_lat, custom_lon], zoom_start=12, tiles='Stamen Toner')
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# Add heatmap layers for 'Valor_Urb', 'Valor_Eqp', and 'RENDA'
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add_heatmap_layer(folium_layermap, filtered_data, 'Valor_Urb', 'RdBu_r')
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mean_value = np.mean(filtered_data['Predicted_target'])
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# Display the results with custom styling
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st.markdown("## **Algoritmo KNN (K-nearest neighbors)**")
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st.write(f"Valor médio (Reais/m²) para as características selecionadas: ${mean_value:.2f}$ Reais")
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st.write(f"Os valores podem variar entre ${lower_bound:.2f}$ e ${higher_bound:.2f}$ Reais, dependendo das características dos imóveis.")
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else:
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