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.
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