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Enhancement for distributed sparse linear regression example #7864
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eric-haibin-lin
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eric-haibin-lin
changed the title
piiswrong
reviewed
Sep 20, 2017
python/mxnet/metric.py
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| @@ -917,6 +917,73 @@ def update(self, labels, preds): | |||
| self.sum_metric += (-numpy.log(prob + self.eps)).sum() | |||
| self.num_inst += label.shape[0] | |||
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| @register | |||
| @alias('log_loss') | |||
| class LogarithmicLoss(EvalMetric): | |||
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where does the name come from?
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The log loss used in avazu kaggle competition
https://www.kaggle.com/wiki/LogLoss
piiswrong
reviewed
Sep 20, 2017
python/mxnet/metric.py
Outdated
| .. math:: | ||
| -\\sum_{n=1}^{N}\\sum_{k=1}^{K}t_{nk}\\log (y_{nk}), | ||
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| where :math:`t_{nk}=1` if and only if sample :math:`n` belongs to class :math:`k`. |
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what's t and y? what's K?
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I forgot to update the equation for log loss... Will update it later
crazy-cat
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Oct 26, 2017
…7864) * add log loss * update sparse LR example * add readme * fix typo * fix lint * change name from log loss to nll * lint * enhance test
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log_lossmetric used in avazu kaggle competition@szha