Struct NeuralNetwork

pub struct NeuralNetwork { /* private fields */ }

Neural network

Implementations

impl NeuralNetwork

pub fn new() -> Self

Create a new neural network

pub fn layer_count(&self) -> usize

Get the number of layers

pub fn predict(&self, input: &[f32]) -> Result<String, JsValue>

Predict with the network (returns JSON string for WASM compatibility)

impl NeuralNetwork

pub fn add_layer(&mut self, layer: Layer)

Add a layer to the network

pub fn forward(&self, input: &ArrayView1<'_, f32>) -> Result<Array1<f32>>

Forward pass through the network

pub fn to_json(&self) -> Result<String>

Save network to JSON

pub fn from_json(json: &str) -> Result<Self>

Load network from JSON

Trait Implementations

impl Clone for NeuralNetwork

fn clone(&self) -> NeuralNetwork

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralNetwork

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for NeuralNetwork

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl From<NeuralNetwork> for JsValue

fn from(value: NeuralNetwork) -> Self

Converts to this type from the input type.

impl FromWasmAbi for NeuralNetwork

type Abi = u32

The Wasm ABI type that this converts from when coming back out from the ABI boundary.

unsafe fn from_abi(js: u32) -> Self

Recover a Self from Self::Abi.

impl IntoWasmAbi for NeuralNetwork

type Abi = u32

The Wasm ABI type that this converts into when crossing the ABI boundary.

fn into_abi(self) -> u32

Convert self into Self::Abi so that it can be sent across the wasm ABI boundary.

impl LongRefFromWasmAbi for NeuralNetwork

type Abi = u32

Same as RefFromWasmAbi::Abi

type Anchor = RcRef<NeuralNetwork>

Same as RefFromWasmAbi::Anchor

unsafe fn long_ref_from_abi(js: Self::Abi) -> Self::Anchor

Same as RefFromWasmAbi::ref_from_abi

impl OptionFromWasmAbi for NeuralNetwork

fn is_none(abi: &Self::Abi) -> bool

Tests whether the argument is a “none” instance. If so it will be deserialized as None, and otherwise it will be passed to FromWasmAbi.

impl OptionIntoWasmAbi for NeuralNetwork

fn none() -> Self::Abi

Returns an ABI instance indicating “none”, which JS will interpret as the None branch of this option.

impl RefFromWasmAbi for NeuralNetwork

type Abi = u32

The Wasm ABI type references to Self are recovered from.

type Anchor = RcRef<NeuralNetwork>

The type that holds the reference to Self for the duration of the invocation of the function that has an &Self parameter. This is required to ensure that the lifetimes don’t persist beyond one function call, and so that they remain anonymous.

unsafe fn ref_from_abi(js: Self::Abi) -> Self::Anchor

Recover a Self::Anchor from Self::Abi.

impl RefMutFromWasmAbi for NeuralNetwork

type Abi = u32

Same as RefFromWasmAbi::Abi

type Anchor = RcRefMut<NeuralNetwork>

Same as RefFromWasmAbi::Anchor

unsafe fn ref_mut_from_abi(js: Self::Abi) -> Self::Anchor

Same as RefFromWasmAbi::ref_from_abi

impl Serialize for NeuralNetwork

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl TryFromJsValue for NeuralNetwork

type Error = JsValue

The type returned in the event of a conversion error.

fn try_from_js_value(value: JsValue) -> Result<Self, Self::Error>

Performs the conversion.

impl VectorFromWasmAbi for NeuralNetwork

type Abi = <Box<[JsValue]> as FromWasmAbi>::Abi

unsafe fn vector_from_abi(js: Self::Abi) -> Box<[NeuralNetwork]>

impl VectorIntoJsValue for NeuralNetwork

fn vector_into_jsvalue(vector: Box<[NeuralNetwork]>) -> JsValue

impl VectorIntoWasmAbi for NeuralNetwork

type Abi = <Box<[JsValue]> as IntoWasmAbi>::Abi

fn vector_into_abi(vector: Box<[NeuralNetwork]>) -> Self::Abi

impl WasmDescribe for NeuralNetwork

fn describe()

impl WasmDescribeVector for NeuralNetwork

fn describe_vector()

impl SupportsConstructor for NeuralNetwork

impl SupportsInstanceProperty for NeuralNetwork

impl SupportsStaticProperty for NeuralNetwork