Comment on page
Metrics
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
Last modified 8mo ago