Updates a transfer learning block. Only values in the body will be updated.
Organization ID
Transfer learning ID
Whether this block is publicly available to Edge Impulse users (if false, then only for members of the owning organization)
If isPublic is true, the list of devices (from latencyDevices) for which this model can be shown.
For public blocks, this indicates the project tiers for which this block is available.
URL to the source code of this custom learn block.
List of parameters, spec'ed according to https://docs.edgeimpulse.com/docs/tips-and-tricks/adding-parameters-to-custom-blocks
Normalization that is applied to images. If this is not set then 0..1 is used. "0..1" gives you non-normalized pixels between 0 and 1. "-1..1" gives you non-normalized pixels between -1 and 1. "0..255" gives you non-normalized pixels between 0 and 255. "-128..127" gives you non-normalized pixels between -128 and 127. "torch" first scales pixels between 0 and 1, then applies normalization using the ImageNet dataset (same as torchvision.transforms.Normalize()). "bgr-subtract-imagenet-mean" scales to 0..255, reorders pixels to BGR, and subtracts the ImageNet mean from each channel.
If set, requires this block to be scheduled on GPU.
Category to display this block in the UI.
List of custom model variants produced when this block is trained. This is experimental and may change in the future.
Unique identifier or key for this custom variant
Custom variant display name
Output artifact unique file ID, in kebab case
Output artifact file name
Output artifact file type
Output artifact file description
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)