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)
from pprint import pprint # 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) print("ee.ConfusionMatrix:") pprint(confusion_matrix.getInfo()) print("ee.ConfusionMatrix as ee.Array:") pprint(confusion_matrix.array().getInfo())