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AndySAnker
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c4b55e5
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Parent(s):
18f8a31
Update app.py
Browse files
app.py
CHANGED
@@ -78,9 +78,11 @@ def POMPredicter(POMFinder, Gr, y_onehotenc_cat):
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y_pred_proba = y_pred_proba[:,1];
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res = sorted(range(len(y_pred_proba)), key = lambda sub: y_pred_proba[sub]);
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res.reverse();
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st.write(y_onehotenc_cat.categories_)
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st.write(y_onehotenc_cat.categories_[0])
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st.write(y_onehotenc_cat.categories_[0][res[0]])
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st.markdown(f'<span style="font-size: 24px; color: green;">The 1st guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[0]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[0]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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st.markdown(f'<span style="font-size: 24px; color: green;">The 2nd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[1]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[1]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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st.markdown(f'<span style="font-size: 24px; color: green;">The 3rd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[2]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[2]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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y_pred_proba = y_pred_proba[:,1];
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res = sorted(range(len(y_pred_proba)), key = lambda sub: y_pred_proba[sub]);
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res.reverse();
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+
st.write(res)
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st.write(y_onehotenc_cat.categories_)
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st.write(y_onehotenc_cat.categories_[0])
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st.write(y_onehotenc_cat.categories_[0][res[0]])
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st.write(y_pred_proba)
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st.markdown(f'<span style="font-size: 24px; color: green;">The 1st guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[0]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[0]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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st.markdown(f'<span style="font-size: 24px; color: green;">The 2nd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[1]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[1]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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st.markdown(f'<span style="font-size: 24px; color: green;">The 3rd guess from the model is: <b>{str(y_onehotenc_cat.categories_[0][res[2]])[2:-2]+"cale.xyz"}</b> with a probability of {y_pred_proba[res[2]]:.2f} %</span> <hr/>',unsafe_allow_html=True)
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