Struct Model 

pub struct Model {
    pub specification_version: i32,
    pub description: Option<ModelDescription>,
    pub is_updatable: bool,
    pub type: Option<Type>,
}

A Core ML model, consisting of a specification version, a model description, and a model type.

Core ML model compatibility is indicated by a monotonically increasing specification version number, which is incremented anytime a backward-incompatible change is made (this is functionally equivalent to the MAJOR version number described by Semantic Versioning 2.0.0 <<http://semver.org/>_>).

Specification Versions : OS Availability (Core ML Version)

1 : iOS 11, macOS 10.13, tvOS 11, watchOS 4 (Core ML 1)

• Feedforward & Recurrent Neural Networks
• General Linear Models
• Tree Ensembles
• Support Vector Machines
• Pipelines
• Feature Engineering

2 : iOS 11.2, macOS 10.13.2, tvOS 11.2, watchOS 4.2 (Core ML 1.2)

• Custom Layers for Neural Networks
• Float 16 support for Neural Network layers

3 : iOS 12, macOS 10.14, tvOS 12, watchOS 5 (Core ML 2)

• Flexible shapes and image sizes
• Categorical sequences
• Core ML Vision Feature Print, Text Classifier, Word Tagger
• Non Max Suppression
• Crop and Resize Bilinear NN layers
• Custom Models

4 : iOS 13, macOS 10.15, tvOS 13, watchOS 6 (Core ML 3)

• Updatable models
• Exact shape / general rank mapping for neural networks
• Large expansion of supported neural network layers
  • Generalized operations
  • Control flow
  • Dynamic layers
  • See NeuralNetwork.proto
• Nearest Neighbor Classifier
• Sound Analysis Prepreocessing
• Recommender
• Linked Model
• NLP Gazeteer
• NLP WordEmbedding

5 : iOS 14, macOS 11, tvOS 14, watchOS 7 (Core ML 4)

• Model Deployment
• Model Encryption
• Unified converter API with PyTorch and Tensorflow 2 Support in coremltools 4
• MIL builder for neural networks and composite ops in coremltools 4
• New layers in neural network: - CumSum - OneHot - ClampedReLu - ArgSort - SliceBySize - Convolution3D - Pool3D - Bilinear Upsample with align corners and fractional factors - PixelShuffle - MatMul with int8 weights and int8 activations - Concat interleave - See NeuralNetwork.proto
• Enhanced Xcode model view with interactive previews
• Enhanced Xcode Playground support for Core ML models

6 : iOS 15, macOS 12, tvOS 15, watchOS 8 (Core ML 5)

• Core ML Audio Feature Print
• new type of model: mlprogram (MILSpec.Program)

7 : iOS 16, macOS 13, tvOS 16, watchOS 9 (Core ML 6)

• FLOAT16 array data type
• GRAYSCALE_FLOAT16 image color space.

8 : iOS 17, macOS 14, tvOS 17, watchOS 10 (Core ML 7)

• iOS 17 ops
• Scene print v2
• ClassConfidenceThresholding model

9 : iOS 18, macOS 15, tvOS 18, watchOS 11 (Core ML 8)

• multiple functions

10 : iOS 26, macOS 26, tvOS 26, watchOS 26, visionOS 26 (Core ML 9)

• Int8 MultiArray types for ML Programs

Fields

specification_version: i32

description: Option<ModelDescription>

is_updatable: bool

Following model types support on-device update:

• NeuralNetworkClassifier
• NeuralNetworkRegressor
• NeuralNetwork
• KNearestNeighborsClassifier

type: Option<Type>

start at 200 here model specific parameters:

Trait Implementations

impl Clone for Model

fn clone(&self) -> Model

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Model

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for Model

fn default() -> Self

Returns the “default value” for a type.

impl Message for Model

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for Model

fn eq(&self, other: &Model) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Model