How to get the classification probability through the classifier trained by sklearn package?

[Godjobgerry]

I have trained a classification RF model on Sklearn package, I want to apply it on GEE and got classification probability map on GEE based on trained RF model. But I found the function "setOutputMode()" did not work, the result still was calss label(int) rather than probability(float). Can any one help me?

from geemap import ml

feature_names = NDVI_image.bandNames().getInfo()
trees = ml.rf_to_strings(cls, feature_names, output_mode="CLASSIFICATION")
ee_strings = [ee.String(tree) for tree in trees]
ee_classifier = ee.Classifier.decisionTreeEnsemble(ee_strings)
ee_classifier = ee_classifier.setOutputMode("MULTIPROBABILITY")
New_image = NDVI_image
Classification = New_image.classify(ee_classifier)

[giswqs]

That means it is not supported. I would not recommend using it.

[Godjobgerry]

Thanks, sir. But is there other motheds can achieve the same fuction? I hope to train classifier on local with Sklearn which is convinience to train machine learning classifier.