does anyone know if the CreateML app has a way to build Support Vector Machine models for tabular regression? I see only the attached options. xcode14.2

Hi everyone! I’m trying to train an activity classification model with 3 classes. The problem is that only one class has precision and recall > 0 after training. Even with 2 classes result is the same First I’d thought that there is a problem with my data but when I switched “left” label to “right” and vice versa the results were the same: only “left”-labeled data get non-zero precision and recall.

I am working on the neural network classifier provided on the coremltools.readme.io in the updatable->neural network section(https://coremltools.readme.io/docs/updatable-neural-network-classifier-on-mnist-dataset). I am using the same code but I get an error saying that the coremltools.converters.keras.convert does not exist. But this I know can be coreml version issue. Right know I am using coremltools version 6.2. I converted this model to mlmodel with .convert only. It got converted successfully. But I face an error in the make_updatable function saying the loss layer must be softmax output. Even the coremlt package API reference there I found its because the layer name is softmaxND but it should be softmax. Now the problem is when I convert the model from Keras sequential model to coreml model. the layer name and type change. And the softmax changes to softmaxND. Does anyone faced this issue? if I execute this builder.inspect_layers(last=4) I get this output [Id: 32], Name: sequential/dense_1/Softmax (Type: softmaxND) Updatable: False Input blobs: ['sequential/dense_1/MatMul'] Output blobs: ['Identity'] [Id: 31], Name: sequential/dense_1/MatMul (Type: batchedMatmul) Updatable: False Input blobs: ['sequential/dense/Relu'] Output blobs: ['sequential/dense_1/MatMul'] [Id: 30], Name: sequential/dense/Relu (Type: activation) Updatable: False Input blobs: ['sequential/dense/MatMul'] Output blobs: ['sequential/dense/Relu'] In the make_updatable function when I execute builder.set_categorical_cross_entropy_loss(name='lossLayer', input='Identity') I get this error ValueError: Categorical Cross Entropy loss layer input (Identity) must be a softmax layer output.

Im on the recent version of MacOs and I recently trained a Style Transfer model using CreateML. I used the preview tab of CreateML to preview my model with a video (as well as an image), however when I press the button to export or share the result from the neural network none are exported. The modal window appears but doesnt save after the progress bar shows up for the conversion I tried converting the CoreML model file into a CoreML package, however when I tried exporting the preview it crashed and switched tabs to the package information section. I've been having this issue with all three export buttons on the model preview section of both the CreateML application and Xcode. Is this happening to anyone else? Ive also tried using the coremltools package for Python to extract a preview, however documentation for Style Transfer networks doesnt exist for loading videos with that package. The style transfer network only takes an input of images, so its unclear where a video file can be loaded.