Commits

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Author Commit Message Labels Comments Date
Jure Žbontar
Neural networks for regression.
Jure Žbontar
Softmax fix.
Lan Zagar
Nicer and faster cost computation.
Jure Žbontar
Softmax regression.
Jure Žbontar
Regularize the intercept term as well.
Jure Žbontar
Implement LOESS.
Jure Žbontar
Moved parameter to init
Jure Žbontar
Newton-Raphson method for fitting the parameters of logistic regression
Jure Žbontar
Added setup.py
Jure Žbontar
Change assert into a warning
Jure Žbontar
Add callback function to neural networks.
Jure Žbontar
Small bug in nerual networks.
Jure Žbontar
Fix neural networks for sparse input
Jure Žbontar
Fix linear regression for sparce input.
Jure Žbontar
Basic backprob with one hidden layer
Jure Žbontar
Fix for sparse matrices
Jure Žbontar
No imports by default
Jure Žbontar
Started work on neural networks
Jure Žbontar
Removed c
Jure Žbontar
First experimnents with grockit data (0.261)
Jure Žbontar
Predict
Jure Žbontar
Shuffle input and code cleanup
Jure Žbontar
Code cleanup
Jure Žbontar
Low rank matrix factorization in c
Jure Žbontar
Logistic regression cost low rank matrix factorization
Jure Žbontar
code cleanup
Jure Žbontar
Added recommender systems
Jure Žbontar
Added linear regression
Jure Žbontar
added fmin_args to constructor
Jure Žbontar
added data and logistic_regression to __init__
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