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Adding new model retail sales forecasting #112
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Adding new model retail sales forecasting #112
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Wrong json format, compare your json structure with other files
model_path = os.path.join("models", "model.pkl") | ||
scaler_path = os.path.join("models", "scaler.pkl") |
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wrong file paths, its in your_model/saved_models
Description
This PR introduces a new machine learning model for retail sales forecasting, designed to predict future sales based on historical data. The model utilizes various features, including date, weekly sales, and holiday indicators, to provide accurate sales predictions.
Issue Resolved
This PR resolves #102 by adding new model retail sales forecaster.
Changes Made
models/retail_sales_forecasting
directory.model.py
andpredict.py
to handle model training and predictions.app.py
to allow users to access the retail sales forecasting feature.Screenshots or Videos
![Retail Sales Forecaster]
Additional Details
Checklist
requirements.txt
file to include any new packagespredict.py
file includes a properly implementedmodel_details()
function, or the notebook contains this function to print a detailed model report. The model will not be accepted without this function, as it is essential for generating the necessary model details.