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appr_auto_cs's Introduction

Berlin AirBnb Price Prediction

Code organisation

data => datasets
│
src
├── preprocess
│   └── preprocess.py => preprocessing methods and pipeline
│   └── utils.py => misc methods
└── training
    └── main_optuna.py => training script with hyperparameters search
    └── models.py => list of all models and hyperparameters

Installation

make install

Training

To launch a training:

cd src/training
python main_optuna.py -n 5

-n is the number of trials. It is possible to use the flag --drop to drop certain features.

MLFlow dashboard

To view all the experiments:

mlflow ui

appr_auto_cs's People

Contributors

nicolasperuchot avatar faustine-malatray avatar ibra-rak avatar thomasvic avatar

Watchers

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