Annuncio: tutti i progetti non commerciali registrati per l'utilizzo di Earth Engine prima del
15 aprile 2025 devono
verificare l'idoneità non commerciale per mantenere l'accesso a Earth Engine.
ee.ConfusionMatrix.array
Mantieni tutto organizzato con le raccolte
Salva e classifica i contenuti in base alle tue preferenze.
Restituisce una matrice di confusione come array.
| Utilizzo | Resi |
|---|
ConfusionMatrix.array() | Array |
| Argomento | Tipo | Dettagli |
|---|
questo: confusionMatrix | ConfusionMatrix | |
Esempi
Editor di codice (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());
Configurazione di Python
Consulta la pagina
Ambiente Python per informazioni sull'API Python e sull'utilizzo di
geemap per lo sviluppo interattivo.
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())
Salvo quando diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0, mentre gli esempi di codice sono concessi in base alla licenza Apache 2.0. Per ulteriori dettagli, consulta le norme del sito di Google Developers. Java è un marchio registrato di Oracle e/o delle sue consociate.
Ultimo aggiornamento 2025-07-26 UTC.
[null,null,["Ultimo aggiornamento 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```"]]
