I am currently training a Tabular Classification model in CreatML. The dataset comprises 30 features, including 1,000,000 training data points and 1,000,000 verification data points. Could you please estimate the approximate training time for an M4Max MacBook Pro? During the training process, CreatML has been displaying the “Processing” status, but there is no progress bar. I would like to ascertain whether the training is still ongoing, as I have often suspected that it has ceased.

I am trying to implement a ML model with Core ML in a playground for a Student Challenge project, but I can not get it to work. I have already tried everything I found online but nothing seems to work (the tutorials where posted long time ago). Anyone knows how to do this with Xcode 15 and the most recent updates?

The What’s New in Create ML session in WWDC24 went into great depth with time-series forecasting models (beginning at: 15:14) and mentioned these new models, capabilities, and tools for iOS 18. So, far, all I can find is API documentation. I don’t see any other session in WWDC24 covering these new time-series forecasting Create ML features. Is there more substance/documentation on how to use these with Create ML? Maybe I am looking in the wrong place but I am fairly new with ML. Are there any food truck / donut shop demo/sample code like in the video? It is of great interest to get ahead of the curve on this within business applications that may take advantage of this with inventory / ordering data.

Problem I have set SWIFT_UPCOMING_FEATURE_EXISTENTIAL_ANY at Build Settings > Swift Compiler - Upcoming Features to true to support this existential any proposal. Then following errors appears in the MLModel class, but this is an auto-generated file, so I don't know how to deal with it. Use of protocol 'MLFeatureProvider' as a type must be written 'any MLFeatureProvider' Use of protocol 'Error' as a type must be written 'any Error' environment Xcode 16.0 Xcode 16.1 Beta 2 What I tried Delete cache of DerivedData and regenerate MLModel class files I also tried using DepthAnythingV2SmallF16P6.mlpackage to verify if there is a problem with my mlmodel I tried the above after setting up Swift6 in Xcode I also used coremlc to generate MLModel class files with Swift6 specified by command.

Hello everyone, I am trying to train using CreateML Version 6.0 Beta (146.1), feature extractor Image Feature Print v2. I am using 100K images for a total ~4GB on my M3 Max 48GB (MacOs 15.0 Beta (24A5279h)) The images seems to be correctly read and visualized in the Data Source section (no images with corrupted data seems to be there). When I start the training it's all fine for the first 6k ~ 7k pictures, then I receive the following error: Failed to create CVPixelBufferPool. Width = 0, Height = 0, Format = 0x00000000 It is the first time I am using it, so I don't really have so much of experience. Could you help me to understand what could be the problem? Thanks a lot