Add gradient calculation in _huber_loss_and_gradient Add tests to check the correctness of the loss and gradient Fix for old scipy Add parameter sigma for robust linear regression Add gradient formula to robust _huber_loss_and_gradient Add fit_intercept option and fix tests Add docs to HuberRegressor and the helper functions Add example demonstrating ridge_regression vs huber_regression Add sample_weight implementation Add scaling invariant huber test Remove exp and add bounds to fmin_l_bfgs_b Add sparse data support Add more tests and refactoring of code Add narrative docs review huber regressor Minor additions to docs and tests Minor fixes that deals with dealing with NaN values in targets and old verions of SciPy and NumPy Add HuberRegressor to robust estimator Refactored computation of gradient and make docs render properly Temp Remove float64 dtype conversion trivial optimizations and add a note about R Remove sample_weights special_casing address @amueller comments |
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|---|---|---|
| .. | ||
| __init__.py | ||
| test_base.py | ||
| test_bayes.py | ||
| test_coordinate_descent.py | ||
| test_huber.py | ||
| test_least_angle.py | ||
| test_logistic.py | ||
| test_omp.py | ||
| test_passive_aggressive.py | ||
| test_perceptron.py | ||
| test_randomized_l1.py | ||
| test_ransac.py | ||
| test_ridge.py | ||
| test_sag.py | ||
| test_sgd.py | ||
| test_sparse_coordinate_descent.py | ||
| test_theil_sen.py | ||