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.

I'm training an activity classifier with CreateML and when I add samples to the Preview tab, the length of the sample it displays does not match its actual length. I have set prediction window size to 15 and sample rate to 10. The activity is roughly 1.5 seconds. When I put a 1.49 second sample into preview, it says it is 00:00.06 seconds: and when I put a 12.91 second sample into preview, it says it is 00:00.52 seconds: Here is the code I am using to print out sensor data in csv format: if motionManager.isDeviceMotionAvailable { motionManager.deviceMotionUpdateInterval = 0.1 motionManager.startDeviceMotionUpdates(to: .main) { data, error in guard let data = data, let startTime = self.startTime else { return } let timestamp = Date().timeIntervalSince(startTime) let xAcc = data.userAcceleration.x let yAcc = data.userAcceleration.y let zAcc = data.userAcceleration.z let xRotRate = data.rotationRate.x let yRotRate = data.rotationRate.y let zRotRate = data.rotationRate.z let roll = data.attitude.roll let pitch = data.attitude.pitch let yaw = data.attitude.yaw let row = "\(timestamp),\(xAcc),\(yAcc),\(zAcc),\(xRotRate),\(yRotRate),\(zRotRate),\(roll),\(pitch),\(yaw)" print(row) } } And here is the data for the 1.49 second sample mentioned above:

For example: we use DocKit for birdwatching, so we have an unknown field distance and direction. Distance = ? Direction = ? For example, the rock from which the observation is made. The task is to recognize the number of birds caught in the frame, add a detection frame and collect statistics. Question: What is the maximum number of frames processed with custom object recognition? If not enough, can I do the calculations myself and transfer to DokKit for fast movement?

Note: I posted this to the feedback assistant but haven't gotten a response for 3months =( FB13482199 I am trying to train a large image classifier. I have a training run for ~300000 images. Each image has a folder and the file names within the folders are somewhat random. 381 classes. I am on an M2 Pro, Sonoma 14.0 running CreateML Version 5.0 (121.1). I would prefer not to pursue the pytorch/HF -> coremltools route. CreateML seems to consistently crash ~25000-30000 images in during the feature extraction phase with "Unexpected Error". It does not seem to be due to an out of memory issue. I am looking for some guidance since it seems impossible to debug why this is consistently crashing. My initial assumption was that it could be due to blank/corrupt files. I do not think that is the case. I also checked if there were any special characters in the data/folders. I wasn't able to go through all, but did try some programatic regex. Don't think this is the case either. I attached the sysdiagnose results in feedback assistant after the crash happened. I did notice when going into /var/logs there was some write issue saying that Mac had written too much to disk. Note: I also tried Xcode 15.2-beta this time and the associated CoreML version. My questions: How can I fix this? How should I go about debugging CreateML errors in the future? 'Unexpected Error' - where can I go about getting the exact createml logs on my device? This is far too broad of an error statement Please let me know. As a note, I did successfully train a past model on ~100000 images. I am planning to 10-15x that if this run is successful. Please help, spent a lot of time gathering the extra data and to date have been an occasional power user of createml. Haven't heard back from Apple since December =/. I assume I'm not the only one with this problem, so looking for any instructions to hands on debug and help others. Thx!

Where can I find CreateML logs? I'd like to inspect log lines if they exist to diagnose what kind of error the app encounters when I provide it training data for a multi-label image classifier and the UI displays "Data Analysis stopped". I do see some crash reports for "MLRecipeExecutionService" in the Console app which seem related, but I haven't spotted anything useful there yet.