* First draft of the new n-dimensional arrays + NB use case * Improves default implementation of multiple Array methods * Refactors tree methods * Adds matrix decomposition routines * Adds matrix decomposition methods to ndarray and nalgebra bindings * Refactoring + linear regression now uses array2 * Ridge & Linear regression * LBFGS optimizer & logistic regression * LBFGS optimizer & logistic regression * Changes linear methods, metrics and model selection methods to new n-dimensional arrays * Switches KNN and clustering algorithms to new n-d array layer * Refactors distance metrics * Optimizes knn and clustering methods * Refactors metrics module * Switches decomposition methods to n-dimensional arrays * Linalg refactoring - cleanup rng merge (#172) * Remove legacy DenseMatrix and BaseMatrix implementation. Port the new Number, FloatNumber and Array implementation into module structure. * Exclude AUC metrics. Needs reimplementation * Improve developers walkthrough New traits system in place at `src/numbers` and `src/linalg` Co-authored-by: Lorenzo <tunedconsulting@gmail.com> * Provide SupervisedEstimator with a constructor to avoid explicit dynamical box allocation in 'cross_validate' and 'cross_validate_predict' as required by the use of 'dyn' as per Rust 2021 * Implement getters to use as_ref() in src/neighbors * Implement getters to use as_ref() in src/naive_bayes * Implement getters to use as_ref() in src/linear * Add Clone to src/naive_bayes * Change signature for cross_validate and other model_selection functions to abide to use of dyn in Rust 2021 * Implement ndarray-bindings. Remove FloatNumber from implementations * Drop nalgebra-bindings support (as decided in conf-call to go for ndarray) * Remove benches. Benches will have their own repo at smartcore-benches * Implement SVC * Implement SVC serialization. Move search parameters in dedicated module * Implement SVR. Definitely too slow * Fix compilation issues for wasm (#202) Co-authored-by: Luis Moreno <morenol@users.noreply.github.com> * Fix tests (#203) * Port linalg/traits/stats.rs * Improve methods naming * Improve Display for DenseMatrix Co-authored-by: Montana Low <montanalow@users.noreply.github.com> Co-authored-by: VolodymyrOrlov <volodymyr.orlov@gmail.com>
112 lines
2.8 KiB
Rust
112 lines
2.8 KiB
Rust
//! # Custom warnings and errors
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use std::error::Error;
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use std::fmt;
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#[cfg(feature = "serde")]
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use serde::{Deserialize, Serialize};
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/// Generic error to be raised when something goes wrong.
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#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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#[derive(Debug)]
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pub struct Failed {
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err: FailedError,
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msg: String,
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}
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/// Type of error
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#[non_exhaustive]
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#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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#[derive(Copy, Clone, Debug)]
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pub enum FailedError {
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/// Can't fit algorithm to data
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FitFailed = 1,
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/// Can't predict new values
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PredictFailed,
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/// Can't transform data
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TransformFailed,
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/// Can't find an item
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FindFailed,
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/// Can't decompose a matrix
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DecompositionFailed,
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/// Can't solve for x
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SolutionFailed,
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/// Erro in input
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ParametersError,
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}
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impl Failed {
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///get type of error
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#[inline]
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pub fn error(&self) -> FailedError {
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self.err
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}
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/// new instance of `FailedError::FitError`
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pub fn fit(msg: &str) -> Self {
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Failed {
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err: FailedError::FitFailed,
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msg: msg.to_string(),
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}
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}
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/// new instance of `FailedError::PredictFailed`
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pub fn predict(msg: &str) -> Self {
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Failed {
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err: FailedError::PredictFailed,
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msg: msg.to_string(),
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}
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}
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/// new instance of `FailedError::TransformFailed`
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pub fn transform(msg: &str) -> Self {
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Failed {
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err: FailedError::TransformFailed,
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msg: msg.to_string(),
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}
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}
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/// new instance of `err`
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pub fn because(err: FailedError, msg: &str) -> Self {
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Failed {
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err,
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msg: msg.to_string(),
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}
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}
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}
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impl PartialEq for FailedError {
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#[inline(always)]
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fn eq(&self, rhs: &Self) -> bool {
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*self as u8 == *rhs as u8
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}
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}
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impl PartialEq for Failed {
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#[inline(always)]
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fn eq(&self, rhs: &Self) -> bool {
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self.err == rhs.err && self.msg == rhs.msg
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}
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}
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impl fmt::Display for FailedError {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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let failed_err_str = match self {
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FailedError::FitFailed => "Fit failed",
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FailedError::PredictFailed => "Predict failed",
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FailedError::TransformFailed => "Transform failed",
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FailedError::FindFailed => "Find failed",
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FailedError::DecompositionFailed => "Decomposition failed",
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FailedError::SolutionFailed => "Can't find solution",
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FailedError::ParametersError => "Error in input, check parameters",
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};
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write!(f, "{}", failed_err_str)
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}
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}
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impl fmt::Display for Failed {
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fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
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write!(f, "{}: {}", self.err, self.msg)
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}
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}
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impl Error for Failed {}
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