First release - Initial implementation #1
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…g data) Added .env.example file Added config.toml Modified requirements.txt
Minor changes in config.toml
Defined several methods for getting results and process them Modified main function
Redefined order of some methods
modified parameters in config.toml
Improved clean_dataset method Added minor utility methods Modified the main function Updated dependencies in requirements.txt
- defined 3 sample regressors - added ModelTrainer class which has methods for training and evaluating models - defined main function
removed "priceByArea" feature create_train_test_df method moved to base Datasource class now exported cleaned instead of raw data
- created Predictor class along with its methods - defined a main function
refactored modules using constants
modified get_model_name method
added author email in setup.py minor changes in README.md
modified requirements.txt added CHANGELOG.md
fixed make_dataset.py, train_model.py, predict_model.py changed criterion in RandomForestRegressor updated README.md updated dependencies in requirements.txt
added docstrings for Datasource, ModelTrainer, Predictor classes
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Initial implementation of the project. This pull request sets up the basic structure and key functionalities for the house-finder repository.
Changelog: