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app.py
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@@ -1,7 +1,6 @@
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import joblib
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import pandas as pd
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from flask import Flask, request, jsonify
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-
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# Libraries different ensemble classifiers
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from sklearn.ensemble import (
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BaggingRegressor,
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GradientBoostingRegressor,
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)
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import xgboost as xgb
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-
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# Initialize Flask app
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app = Flask("Supermarket Product Price Predictor")
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loaded_model = joblib.load("predict_product_price_v1_0.joblib")
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import joblib
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import pandas as pd
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from flask import Flask, request, jsonify
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# Libraries different ensemble classifiers
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from sklearn.ensemble import (
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BaggingRegressor,
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GradientBoostingRegressor,
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)
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import xgboost as xgb
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# Initialize Flask app
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app = Flask("Supermarket Product Price Predictor")
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loaded_model = joblib.load("predict_product_price_v1_0.joblib")
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