[jira] [Assigned] (SINGA-176) Add loss and metric base classes

["Zheng Kaiping (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SINGA-176?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zheng Kaiping reassigned SINGA-176:
-----------------------------------

    Assignee: Zheng Kaiping

> Add loss and metric base classes
> --------------------------------
>
>                 Key: SINGA-176
>                 URL: https://issues.apache.org/jira/browse/SINGA-176
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>            Assignee: Zheng Kaiping
>
> The loss base class 'Loss' is for learning objectives, which accept the prediction from the neural net and the target (or ground truth) from the training dataset. It outputs a scalar loss value for each data instance and computes the gradient of the loss value w.r.t the prediction value, which would be back-propagated through the neural net.
> The metric base class 'Metric' is for evaluating the performance (e.g, accuracy) of the neural net. It also accepts the prediction and the target, and computes the performance metrics, which could be accuracy, false positive, etc. It does not compute the gradients.



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