Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.
Dependencies if any, must be appropriately added. Test run of the train function on a classification problem(ClassificationTest.py) must pass, and the function must attempt to train an PassiveAggressiveClassifier as a potential best fit model.
RajuUwU
commented
3 years ago
Add PassiveAggressiveClassifier model into the library.
Primary File to Change: https://github.com/blobcity/autoai/blob/main/blobcity/config/classifier_config.py
Reference PassiveAggressiveClassifier documentation for parameter to consider: https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html
Dependencies if any, must be appropriately added. Test run of the train function on a classification problem(
ClassificationTest.py) must pass, and the function must attempt to train an PassiveAggressiveClassifier as a potential best fit model.