Batcar is a tool for evaluating model through time in order to narrow the gap between research and deployment. Batcar evaluates & updates model through time just like in real situation

🗨️ Usage

• For business
  • Persuade need of continual learning by showing result when it's applied/not applied
  • Investigate amount of data needed for training by monitoring model performance
• For analysis
  • Investigate distribution changes (trend / seasonality) by monitoring model performance
• For research
  • Compare different update triggers
  • Compare different model update methods

⚡️ Quickstart

import batcar
batcar = BatCar()
batcar.drive(x, y, model)

model_archive = batcar.history['models']
history_pred = batcar.history['pred']
history_eval = batcar.history['eval']

• x, y
  • nd.ndarray or pd.DataFrame, pd.Series
  • supports pd.RangeIndex, pd.Int64Index, pd.DatetimeIndex
• model
  • should be able to train with .fit()
  • should be able to predict with .predict()

🕐 Time traveler

🔫 Update trigger

🔧 Model updater

🛠 Installation

$ git clone https://github.com/makinarocks/batcar.git
...

🔩 Development

# Update document when code changes
pip3 install pdoc3
pdoc3 --html batcar --force
mv html/batcar docs
rm -r html

🧠 Philosophy

content

🔥 Features

🔗 Useful links

• Documentation