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Searched refs:squared_loss (Results 1 – 6 of 6) sorted by relevance

/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/linear_model/
H A D_huber.py87 squared_loss = weighted_loss / sigma
114 grad[-1] -= squared_loss / sigma
121 loss = n_samples * sigma + squared_loss + outlier_loss
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/neural_network/
H A D_base.py158 def squared_loss(y_true, y_pred): function
234 "squared_error": squared_loss,
/dports/math/vowpal_wabbit/vowpal_wabbit-7.10/vowpalwabbit/
H A Dnn.cc24 loss_function* squared_loss; member
143 n.all->loss = n.squared_loss; in predict_or_learn()
193 n.all->loss = n.squared_loss; in predict_or_learn()
274 n.all->loss = n.squared_loss; in predict_or_learn()
343 delete n.squared_loss; in finish()
396 n.squared_loss = getLossFunction (all, "squared", 0); in nn_setup()
/dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/linear_model/tests/
H A Dtest_sag.py52 def squared_loss(p, y): function
431 pobj1 = get_pobj(clf1.coef_, alpha, X, y, squared_loss)
432 pobj2 = get_pobj(clf2.coef_, alpha, X, y, squared_loss)
433 pobj3 = get_pobj(clf3.coef_, alpha, X, y, squared_loss)
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/
H A Dfaq.rst415 - :class:`~linear_model.SGDRegressor` with `loss='squared_loss'`
/dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/whats_new/
H A Dv1.0.rst360 - For :class:`linear_model.RANSACRegressor`, `loss="squared_loss"` is
363 - For :class:`linear_model.SGDRegressor`, `loss="squared_loss"` is