AI-generated Key Takeaways
-
The
array()method returns a confusion matrix as anArray. -
The
array()method is called on aConfusionMatrixobject. -
The examples demonstrate how to create a
ConfusionMatrixand then retrieve its array representation in both JavaScript and Python.
| Usage | Returns |
|---|---|
ConfusionMatrix.
array
()
|
Array |
| Argument | Type | Details |
|---|---|---|
|
this:
confusionMatrix
|
ConfusionMatrix |
Examples
Code Editor (JavaScript)
// Construct a confusion matrix from an array (rows are actual values, // columns are predicted values). We construct a confusion matrix here for // brevity and clear visualization, in most applications the confusion matrix // will be generated from ee.Classifier.confusionMatrix. var array = ee . Array ([[ 32 , 0 , 0 , 0 , 1 , 0 ], [ 0 , 5 , 0 , 0 , 1 , 0 ], [ 0 , 0 , 1 , 3 , 0 , 0 ], [ 0 , 1 , 4 , 26 , 8 , 0 ], [ 0 , 0 , 0 , 7 , 15 , 0 ], [ 0 , 0 , 0 , 1 , 0 , 5 ]]); var confusionMatrix = ee . ConfusionMatrix ( array ); print ( "ee.ConfusionMatrix" , confusionMatrix ); print ( "ee.ConfusionMatrix as ee.Array" , confusionMatrix . array ());
import ee import geemap.core as geemap
Colab (Python)
# Construct a confusion matrix from an array (rows are actual values, # columns are predicted values). We construct a confusion matrix here for # brevity and clear visualization, in most applications the confusion matrix # will be generated from ee.Classifier.confusionMatrix. array = ee . Array ([[ 32 , 0 , 0 , 0 , 1 , 0 ], [ 0 , 5 , 0 , 0 , 1 , 0 ], [ 0 , 0 , 1 , 3 , 0 , 0 ], [ 0 , 1 , 4 , 26 , 8 , 0 ], [ 0 , 0 , 0 , 7 , 15 , 0 ], [ 0 , 0 , 0 , 1 , 0 , 5 ]]) confusion_matrix = ee . ConfusionMatrix ( array ) display ( "ee.ConfusionMatrix:" , confusion_matrix ) display ( "ee.ConfusionMatrix as ee.Array:" , confusion_matrix . array ())
