pyTigerGraph GDS Metrics
Utility for gathering metrics for GNN predictions.
Accuracy
Accuracy = sum(predictions == labels) / len(labels)
Usage:
-
Call the update function to add predictions and labels.
-
Get accuracy score at any point by accessing the value property.
BinaryRecall
Recall = \( rac{\sum(predictions * labels)}{\sum(labels)}\)
This metric is for binary classifications, i.e., both predictions and labels are arrays of 0’s and 1’s.
Usage:
-
Call the update function to add predictions and labels.
-
Get recall score at any point by accessing the value property.
BinaryPrecision
Precision = \( rac{\sum(predictions * labels)}{\sum(predictions)}\)
This metric is for binary classifications, i.e., both predictions and labels are arrays of 0’s and 1’s.
Usage:
-
Call the update function to add predictions and labels.
-
Get precision score at any point by accessing the value property.