ee.ConfusionMatrix.array
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Enregistrez et classez les contenus selon vos préférences.
Renvoie une matrice de confusion sous forme de tableau.
| Utilisation | Renvoie |
|---|
ConfusionMatrix.array() | Tableau |
| Argument | Type | Détails |
|---|
ceci : confusionMatrix | ConfusionMatrix | |
Exemples
Éditeur de code (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());
Configuration de Python
Consultez la page
Environnement Python pour en savoir plus sur l'API Python et sur l'utilisation de geemap pour le développement interactif.
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())
Sauf indication contraire, le contenu de cette page est régi par une licence Creative Commons Attribution 4.0, et les échantillons de code sont régis par une licence Apache 2.0. Pour en savoir plus, consultez les Règles du site Google Developers. Java est une marque déposée d'Oracle et/ou de ses sociétés affiliées.
Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[[["\u003cp\u003eThe \u003ccode\u003eConfusionMatrix.array()\u003c/code\u003e function returns the confusion matrix as an \u003ccode\u003eee.Array\u003c/code\u003e object.\u003c/p\u003e\n"],["\u003cp\u003eThis function is used to access the underlying data of an \u003ccode\u003eee.ConfusionMatrix\u003c/code\u003e object for further analysis or visualization.\u003c/p\u003e\n"],["\u003cp\u003eThe confusion matrix represents the performance of a classifier, with rows indicating actual values and columns indicating predicted values.\u003c/p\u003e\n"],["\u003cp\u003eYou can create an \u003ccode\u003eee.ConfusionMatrix\u003c/code\u003e from an existing \u003ccode\u003eee.Array\u003c/code\u003e or by using the \u003ccode\u003eee.Classifier.confusionMatrix()\u003c/code\u003e function.\u003c/p\u003e\n"]]],[],null,["# ee.ConfusionMatrix.array\n\nReturns a confusion matrix as an Array.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------|---------|\n| ConfusionMatrix.array`()` | Array |\n\n| Argument | Type | Details |\n|-------------------------|-----------------|---------|\n| this: `confusionMatrix` | ConfusionMatrix | |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Construct a confusion matrix from an array (rows are actual values,\n// columns are predicted values). We construct a confusion matrix here for\n// brevity and clear visualization, in most applications the confusion matrix\n// will be generated from ee.Classifier.confusionMatrix.\nvar array = ee.Array([[32, 0, 0, 0, 1, 0],\n [ 0, 5, 0, 0, 1, 0],\n [ 0, 0, 1, 3, 0, 0],\n [ 0, 1, 4, 26, 8, 0],\n [ 0, 0, 0, 7, 15, 0],\n [ 0, 0, 0, 1, 0, 5]]);\nvar confusionMatrix = ee.ConfusionMatrix(array);\nprint(\"ee.ConfusionMatrix\", confusionMatrix);\n\nprint(\"ee.ConfusionMatrix as ee.Array\", confusionMatrix.array());\n```\nPython setup\n\nSee the [Python Environment](/earth-engine/guides/python_install) page for information on the Python API and using\n`geemap` for interactive development. \n\n```python\nimport ee\nimport geemap.core as geemap\n```\n\n### Colab (Python)\n\n```python\nfrom pprint import pprint\n\n# Construct a confusion matrix from an array (rows are actual values,\n# columns are predicted values). We construct a confusion matrix here for\n# brevity and clear visualization, in most applications the confusion matrix\n# will be generated from ee.Classifier.confusionMatrix.\narray = ee.Array([[32, 0, 0, 0, 1, 0],\n [ 0, 5, 0, 0, 1, 0],\n [ 0, 0, 1, 3, 0, 0],\n [ 0, 1, 4, 26, 8, 0],\n [ 0, 0, 0, 7, 15, 0],\n [ 0, 0, 0, 1, 0, 5]])\nconfusion_matrix = ee.ConfusionMatrix(array)\nprint(\"ee.ConfusionMatrix:\")\npprint(confusion_matrix.getInfo())\n\nprint(\"ee.ConfusionMatrix as ee.Array:\")\npprint(confusion_matrix.array().getInfo())\n```"]]
