Struct NeuralMTLRConfig 

pub struct NeuralMTLRConfig {
    pub hidden_dims: Vec<usize>,
    pub num_time_bins: usize,
    pub dropout_rate: f64,
    pub learning_rate: f64,
    pub batch_size: usize,
    pub n_epochs: usize,
    pub l2_reg: f64,
    pub seed: Option<u64>,
}

Fields

hidden_dims: Vec<usize>

num_time_bins: usize

dropout_rate: f64

learning_rate: f64

batch_size: usize

n_epochs: usize

l2_reg: f64

seed: Option<u64>

Implementations

impl NeuralMTLRConfig

pub fn new( hidden_dims: Option<Vec<usize>>, num_time_bins: usize, dropout_rate: f64, learning_rate: f64, batch_size: usize, n_epochs: usize, l2_reg: f64, seed: Option<u64>, ) -> PyResult<Self>

Trait Implementations

impl Clone for NeuralMTLRConfig

fn clone(&self) -> NeuralMTLRConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralMTLRConfig

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

Formats the value using the given formatter.

impl<'py> IntoPyObject<'py> for NeuralMTLRConfig

type Target = NeuralMTLRConfig

The Python output type

type Output = Bound<'py, <NeuralMTLRConfig as IntoPyObject<'py>>::Target>

The smart pointer type to use.

type Error = PyErr

The type returned in the event of a conversion error.

fn into_pyobject( self, py: Python<'py>, ) -> Result<<Self as IntoPyObject<'_>>::Output, <Self as IntoPyObject<'_>>::Error>

Performs the conversion.

impl PyClass for NeuralMTLRConfig

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for NeuralMTLRConfig

const IS_BASETYPE: bool = false

#[pyclass(subclass)]

const IS_SUBCLASS: bool = false

#[pyclass(extends=…)]

const IS_MAPPING: bool = false

#[pyclass(mapping)]

const IS_SEQUENCE: bool = false

#[pyclass(sequence)]

const IS_IMMUTABLE_TYPE: bool = false

#[pyclass(immutable_type)]

const RAW_DOC: &'static CStr = c"\x00"

Docstring for the class provided on the struct or enum.

const DOC: &'static CStr

Fully rendered class doc, including the text_signature if a constructor is defined.

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<NeuralMTLRConfig>

This handles following two situations:

type PyClassMutability = <<PyAny as PyClassBaseType>::PyClassMutability as PyClassMutability>::MutableChild

Immutable or mutable

type Dict = PyClassDummySlot

Specify this class has #[pyclass(dict)] or not.

type WeakRef = PyClassDummySlot

Specify this class has #[pyclass(weakref)] or not.

type BaseNativeType = PyAny

The closest native ancestor. This is PyAny by default, and when you declare #[pyclass(extends=PyDict)], it’s PyDict.

fn items_iter() -> PyClassItemsIter

fn lazy_type_object() -> &'static LazyTypeObject<Self>

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyClassNewTextSignature for NeuralMTLRConfig

const TEXT_SIGNATURE: &'static str = "(hidden_dims=None, num_time_bins=20, dropout_rate=0.1, learning_rate=0.001, batch_size=64, n_epochs=100, l2_reg=0.001, seed=None)"

impl PyMethods<NeuralMTLRConfig> for PyClassImplCollector<NeuralMTLRConfig>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for NeuralMTLRConfig

const NAME: &'static str = "NeuralMTLRConfig"

Class name.

const MODULE: Option<&'static str> = ::core::option::Option::None

Module name, if any.

fn type_object_raw(py: Python<'_>) -> *mut PyTypeObject

Returns the PyTypeObject instance for this type.

fn type_object(py: Python<'_>) -> Bound<'_, PyType>

Returns the safe abstraction over the type object.

fn is_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type or a subclass of this type.

fn is_exact_type_of(object: &Bound<'_, PyAny>) -> bool

Checks if object is an instance of this type.

impl DerefToPyAny for NeuralMTLRConfig

impl ExtractPyClassWithClone for NeuralMTLRConfig