EstimateClassificationProbabilities operation
Warning
This documentation refers to the Classic QDK, which has been replaced by the Modern QDK.
Please see https://aka.ms/qdk.api for the API documentation for the Modern QDK.
Namespace: Microsoft.Quantum.MachineLearning
Package: Microsoft.Quantum.MachineLearning
Given a set of samples and a sequential classifier, estimates the classification probability for those samples by repeatedly measuring the output of the classifier on each sample.
operation EstimateClassificationProbabilities (tolerance : Double, model : Microsoft.Quantum.MachineLearning.SequentialModel, samples : Double[][], nMeasurements : Int) : Double[]
Input
tolerance : Double
The tolerance to allow in encoding the sample into a state preparation operation.
model : SequentialModel
The sequential model to be used to estimate the classification probabilities for the given samples.
samples : Double[][]
An array of feature vectors for each sample to be classified.
nMeasurements : Int
The number of measurements to use in estimating the classification probability.
Output : Double[]
An array of estimates of the classification probability for each given sample.
Feedback
https://aka.ms/ContentUserFeedback.
Coming soon: Throughout 2024 we will be phasing out GitHub Issues as the feedback mechanism for content and replacing it with a new feedback system. For more information see:Submit and view feedback for