Struct PyLRModel 

pub struct PyLRModel { /* private fields */ }

Python wrapper for LR Model

Implementations

impl PyLRModel

pub fn new() -> PyResult<Self>

Create a new empty LR model

pub fn with_classes(classes: Vec<String>) -> PyResult<Self>

Create a model with predefined classes

pub fn num_classes(&self) -> usize

Get the number of classes

pub fn num_features(&self) -> usize

Get the number of features

pub fn num_weights(&self) -> usize

Get the number of non-zero weights

pub fn get_classes(&self) -> Vec<String>

Get all class labels

pub fn save(&self, path: String) -> PyResult<()>

Save the model to a file

pub fn load(path: String) -> PyResult<Self>

Load a model from a file

pub fn l2_norm_squared(&self) -> f64

Get the L2 norm squared of all weights

pub fn l1_norm(&self) -> f64

Get the L1 norm of all weights

Trait Implementations

impl DerefToPyAny for PyLRModel

impl<'py> IntoPyObject<'py> for PyLRModel

type Target = PyLRModel

The Python output type

type Output = Bound<'py, <PyLRModel 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 PyLRModel

type Frozen = False

Whether the pyclass is frozen.

impl PyClassImpl for PyLRModel

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)]

type BaseType = PyAny

Base class

type ThreadChecker = SendablePyClass<PyLRModel>

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 doc(py: Python<'_>) -> PyResult<&'static CStr>

Rendered class doc

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

fn dict_offset() -> Option<isize>

fn weaklist_offset() -> Option<isize>

impl PyClassNewTextSignature<PyLRModel> for PyClassImplCollector<PyLRModel>

fn new_text_signature(self) -> Option<&'static str>

impl<'a, 'py> PyFunctionArgument<'a, 'py, false> for &'a PyLRModel

type Holder = Option<PyRef<'py, PyLRModel>>

fn extract( obj: &'a Bound<'py, PyAny>, holder: &'a mut Self::Holder, ) -> PyResult<Self>

impl<'a, 'py> PyFunctionArgument<'a, 'py, false> for &'a mut PyLRModel

type Holder = Option<PyRefMut<'py, PyLRModel>>

fn extract( obj: &'a Bound<'py, PyAny>, holder: &'a mut Self::Holder, ) -> PyResult<Self>

impl PyMethods<PyLRModel> for PyClassImplCollector<PyLRModel>

fn py_methods(self) -> &'static PyClassItems

impl PyTypeInfo for PyLRModel

const NAME: &'static str = "LRModel"

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.