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  1. Platform
  2. Network

Metrics

PreviousImport ModelNextEvaluate / Train Model

Last updated 2 years ago

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The Tensorleap platform allows you to add metrics to be computed in each model evaluation or training cycle.

These Metrics are divided into two types:

  • Default metrics

    • MeanSquaredError

    • MeanSquaredLogarithmicError

    • MeanAbsoluteError

    • MeanAbsolutePercentageError

    • Accuracy

    • BinaryAccuracy

    • MeanIOU

  • Custom metrics

Adding a metric to the network map is done by:

  1. Right clicking on the network map

  2. Selecting the metric node

  3. Selecting the type of the metric from the Node Details menu

  4. connecting the metric block to the relevant nodes in the network map

In order to add a Custom metric it must be added to the dataset script and parsed first as described in the Custom metric section