ee.ConfusionMatrix.order
संग्रह की मदद से व्यवस्थित रहें
अपनी प्राथमिकताओं के आधार पर, कॉन्टेंट को सेव करें और कैटगरी में बांटें.
यह फ़ंक्शन, मैट्रिक्स की पंक्तियों और कॉलम का नाम और क्रम दिखाता है.
| इस्तेमाल | रिटर्न |
|---|
ConfusionMatrix.order() | सूची |
| आर्ग्यूमेंट | टाइप | विवरण |
|---|
यह: confusionMatrix | ConfusionMatrix | |
उदाहरण
कोड एडिटर (JavaScript)
// Construct an error/confusion matrix from an array (rows are actual values,
// columns are predicted values). We construct an error matrix here for brevity
// and matrix 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 cmDefaultOrder = ee.ConfusionMatrix(array);
print('Default name and order of the rows and columns',
cmDefaultOrder.order());
var order = [11, 22, 42, 52, 71, 81];
var cmSpecifiedOrder = ee.ConfusionMatrix({array: array, order: order});
print('Specified name and order of the rows and columns',
cmSpecifiedOrder.order());
Python सेटअप करना
Python API और इंटरैक्टिव डेवलपमेंट के लिए geemap का इस्तेमाल करने के बारे में जानकारी पाने के लिए,
Python एनवायरमेंट पेज देखें.
import ee
import geemap.core as geemap
Colab (Python)
# Construct an error/confusion matrix from an array (rows are actual values,
# columns are predicted values). We construct an error matrix here for brevity
# and matrix 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]])
cm_default_order = ee.ConfusionMatrix(array)
print('Default name and order of the rows and columns:',
cm_default_order.order().getInfo())
order = [11, 22, 42, 52, 71, 81]
cm_specified_order = ee.ConfusionMatrix(array, order)
print('Specified name and order of the rows and columns:',
cm_specified_order.order().getInfo())
जब तक कुछ अलग से न बताया जाए, तब तक इस पेज की सामग्री को Creative Commons Attribution 4.0 License के तहत और कोड के नमूनों को Apache 2.0 License के तहत लाइसेंस मिला है. ज़्यादा जानकारी के लिए, Google Developers साइट नीतियां देखें. Oracle और/या इससे जुड़ी हुई कंपनियों का, Java एक रजिस्टर किया हुआ ट्रेडमार्क है.
आखिरी बार 2025-07-26 (UTC) को अपडेट किया गया.
[null,null,["आखिरी बार 2025-07-26 (UTC) को अपडेट किया गया."],[[["\u003cp\u003e\u003ccode\u003eConfusionMatrix.order()\u003c/code\u003e returns a list containing the names and order of rows and columns within the confusion matrix.\u003c/p\u003e\n"],["\u003cp\u003eBy default, \u003ccode\u003eConfusionMatrix\u003c/code\u003e automatically assigns an order to rows and columns if not explicitly specified.\u003c/p\u003e\n"],["\u003cp\u003eUsers can define a custom order for rows and columns when creating a \u003ccode\u003eConfusionMatrix\u003c/code\u003e using the \u003ccode\u003eorder\u003c/code\u003e parameter.\u003c/p\u003e\n"],["\u003cp\u003eThis function is crucial for understanding the structure and organization of a confusion matrix, especially when interpreting its values.\u003c/p\u003e\n"]]],["The `ConfusionMatrix.order()` method returns a list representing the name and order of the rows and columns within a confusion matrix. By default, this order is determined by the matrix's structure. Users can specify a custom order when creating the `ConfusionMatrix`, which will then be reflected in the output of `order()`. The examples illustrate how to retrieve both the default and a user-defined row and column order.\n"],null,["# ee.ConfusionMatrix.order\n\nReturns the name and order of the rows and columns of the matrix.\n\n\u003cbr /\u003e\n\n| Usage | Returns |\n|---------------------------|---------|\n| ConfusionMatrix.order`()` | List |\n\n| Argument | Type | Details |\n|-------------------------|-----------------|---------|\n| this: `confusionMatrix` | ConfusionMatrix | |\n\nExamples\n--------\n\n### Code Editor (JavaScript)\n\n```javascript\n// Construct an error/confusion matrix from an array (rows are actual values,\n// columns are predicted values). We construct an error matrix here for brevity\n// and matrix visualization, in most applications the confusion matrix will be\n// 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]]);\n\nvar cmDefaultOrder = ee.ConfusionMatrix(array);\nprint('Default name and order of the rows and columns',\n cmDefaultOrder.order());\n\nvar order = [11, 22, 42, 52, 71, 81];\nvar cmSpecifiedOrder = ee.ConfusionMatrix({array: array, order: order});\nprint('Specified name and order of the rows and columns',\n cmSpecifiedOrder.order());\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\n# Construct an error/confusion matrix from an array (rows are actual values,\n# columns are predicted values). We construct an error matrix here for brevity\n# and matrix visualization, in most applications the confusion matrix will be\n# 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]])\n\ncm_default_order = ee.ConfusionMatrix(array)\nprint('Default name and order of the rows and columns:',\n cm_default_order.order().getInfo())\n\norder = [11, 22, 42, 52, 71, 81]\ncm_specified_order = ee.ConfusionMatrix(array, order)\nprint('Specified name and order of the rows and columns:',\n cm_specified_order.order().getInfo())\n```"]]
