coremlprediction

Neuralnetworkmodelscanprocessasequenceofinputs,butrequiresomestateoftheneuralnetworktobemaintainedbetweeninputs.CoreMLprovidesa ...,AnMLModelencapsulatesaCoreMLmodel'spredictionmethods,configuration,andmodeldescription.Youcanusethecoremltoolspackagetoconverttrained ...,WhenusingtheCoreMLmodelinyourXcodeapp,useanMLFeatureValue,whichwrapsanunderlyingvalueandbundlesitwiththatvalue'stype,represent...

參考資訊如下
Making Predictions with a Sequence of Inputs

Neural network models can process a sequence of inputs, but require some state of the neural network to be maintained between inputs. Core ML provides a ...

MLModel Overview — Guide to Core ML Tools

An MLModel encapsulates a Core ML model's prediction methods, configuration, and model description. You can use the coremltools package to convert trained ...

Model Prediction

When using the Core ML model in your Xcode app, use an MLFeatureValue, which wraps an underlying value and bundles it with that value's type, represented by ...

Model Prediction — Guide to Core ML Tools

After converting a source model to a Core ML model, you can evaluate the Core ML model by verifying that the predictions made by the Core ML model match the ...

prediction(from:)

Generates a prediction asynchronously from the feature values within the input feature provider using the prediction options.

Steps to use Core ML in iOS app development

2023年5月11日 — Core ML predictions can throw errors, so it's important to handle them appropriately. Wrap the prediction code in a do-catch block to handle ...

Using prediction models with CoreML

2017年8月10日 — Using prediction models with CoreML. In this tutorial, you will create a classification model from a data set using scikit-learn, convert that ...