Searched refs:l2_regularization (Results 1 – 8 of 8) sorted by relevance
| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/tests/ |
| H A D | test_splitting.py | 24 l2_regularization = 0
111 l2_regularization = 0.0
147 l2_regularization,
171 l2_regularization,
179 l2_regularization,
247 l2_regularization = 0.0
290 l2_regularization,
332 l2_regularization = 0
366 l2_regularization,
535 l2_regularization,
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| H A D | test_monotonic_contraints.py | 288 l2_regularization = 0
320 l2_regularization,
339 l2_regularization,
364 l2_regularization,
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/sklearn/ensemble/_hist_gradient_boosting/ |
| H A D | grower.py | 201 l2_regularization=0.0, argument
213 l2_regularization,
279 l2_regularization,
292 self.l2_regularization = l2_regularization
316 l2_regularization, argument
348 if l2_regularization < 0:
350 "l2_regularization={} must be positive.".format(l2_regularization)
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| H A D | gradient_boosting.py | 44 l2_regularization, argument
63 self.l2_regularization = l2_regularization
522 l2_regularization=self.l2_regularization,
1214 l2_regularization=0.0, argument
1234 l2_regularization=l2_regularization,
1522 l2_regularization=0.0, argument
1542 l2_regularization=l2_regularization,
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| H A D | utils.pyx | 54 'reg_lambda': sklearn_params['l2_regularization'],
91 'lambda': sklearn_params['l2_regularization'],
113 'reg_lambda': sklearn_params['l2_regularization'],
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| H A D | splitting.pyx | 142 l2_regularization : float
165 Y_DTYPE_C l2_regularization
182 Y_DTYPE_C l2_regularization,
196 self.l2_regularization = l2_regularization
644 self.l2_regularization)
758 self.l2_regularization)
962 self.l2_regularization)
1026 Y_DTYPE_C l2_regularization) nogil:
1044 l2_regularization)
1047 l2_regularization)
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| /dports/science/py-scikit-learn/scikit-learn-1.0.2/doc/modules/ |
| H A D | ensemble.rst | 961 The ``l2_regularization`` parameter is a regularizer on the loss function and
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| /dports/textproc/py-ufal.udpipe/ufal.udpipe-1.2.0.3/udpipe/ |
| H A D | udpipe.cpp | 15109 float l2_regularization; member
15204 float l1_regularization, l2_regularization, maxnorm_regularization; member in ufal::udpipe::parsito::neural_network_trainer
15259 l2_regularization = parameters.l2_regularization; in neural_network_trainer()
15529 …e_trainer_data) - (j+1 == w.weights_batch[i].size() ? /*bias*/ 0. : l2_regularization) * network.w… in backpropagate_template()
15544 …trainer_data ? w.embedding_trainer[i][id][j] : none_trainer_data) - l2_regularization * embedding[… in backpropagate_template()
16447 scaled_parameters.l2_regularization /= total_nodes; in train()
21118 parameters.l2_regularization = l2; in train_parser()
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