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A package for quick&dirty DNN

Project description

QuickNN

An implementation sklearn-like of FeedForward Neural Networks for quick applications. It can handle categorical variables with one-hot-encoding(OHE) method batch-wise as well as continuous variables.

Example

from quicknn import QuickNN

# load X_train, X_test, y_train, y_test

qdnn = QuickNN(list_neurons=[100, 100, 1])
qnn.fit(X_train, y_train)
y_pred = qnn.predict(X_test)

Installing

$ pip install quicknn

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

Project details


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