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Browse files- BagReg_RSCV.joblib +2 -2
- DTree_RSCV.joblib +1 -1
- RndmFrstReg_RSCV.joblib +2 -2
- adaboost_RSCV.joblib +1 -1
- app.py +2 -1
- feature_names.joblib +1 -1
- gradboost_RSCV.joblib +2 -2
- pipeline.joblib +3 -0
BagReg_RSCV.joblib
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version https://git-lfs.github.com/spec/v1
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size 1092152
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DTree_RSCV.joblib
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size 169889
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version https://git-lfs.github.com/spec/v1
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oid sha256:be4004c902f4e13371eb90fc79241c0fadeac14177bd6a5877a897cbb53afdd8
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size 169889
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RndmFrstReg_RSCV.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:58bdda6bcee5c0927741e6f3edb0adc87567118f812c72941e1f6e405abd2fa1
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size 6684337
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adaboost_RSCV.joblib
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version https://git-lfs.github.com/spec/v1
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size 105720
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version https://git-lfs.github.com/spec/v1
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oid sha256:486d2a718dc85f26ada16f554409d0ad8fcdc9d256df4478dc0b8b2b873aaafe
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size 105720
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app.py
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@@ -37,7 +37,8 @@ input_data = pd.DataFrame([{
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}])
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if st.button("Sales Prediction"):
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api_url = "https://jpkarthikeyan-Streamlit-Superkart-Prediction-API-01.hf.space/predict"
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try:
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response = requests.post(api_url, json=input_data.to_dict(orient='records')[0])
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st.write(f"Status Code: {response.status_code}")
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}])
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if st.button("Sales Prediction"):
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#api_url = "https://jpkarthikeyan-Streamlit-Superkart-Prediction-API-01.hf.space/predict"
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api_url = "http://localhost:7860/predict"
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try:
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response = requests.post(api_url, json=input_data.to_dict(orient='records')[0])
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st.write(f"Status Code: {response.status_code}")
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feature_names.joblib
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version https://git-lfs.github.com/spec/v1
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size 666
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version https://git-lfs.github.com/spec/v1
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oid sha256:236dab046323140493cba8360cd1b44de3f5b2828bbd060494ed3c749b43ab0b
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size 666
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gradboost_RSCV.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:f30fdc5ef7807e6eebb51a3e40e36fdc2c731cc787f9e832adf55b42ee11410b
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size 569801
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pipeline.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d33b2639b50b24df13f49d5c2b45dd4aa78ba7292940b5ef3132ebc7d33f829
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size 5896
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