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Merge potential next release v0.4 (#187) Breaking Changes

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* 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>
This commit is contained in:
Lorenzo
2022-10-31 10:44:57 +00:00
committed by GitHub
parent bb71656137
commit 52eb6ce023
110 changed files with 10327 additions and 9107 deletions
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src/preprocessing/series_encoder.rs
+7 -7
View File
@@ -3,8 +3,8 @@
//! Encode a series of categorical features as a one-hot numeric array.
use crate::error::Failed;
use crate::linalg::BaseVector;
use crate::math::num::RealNumber;
use crate::linalg::basic::arrays::Array1;
use crate::numbers::realnum::RealNumber;
use std::collections::HashMap;
use std::hash::Hash;
@@ -132,7 +132,7 @@ where
pub fn get_one_hot<U, V>(&self, category: &C) -> Option<V>
where
U: RealNumber,
V: BaseVector<U>,
V: Array1<U>,
{
self.get_num(category)
.map(|&idx| make_one_hot::<U, V>(idx, self.num_categories))
@@ -142,15 +142,15 @@ where
pub fn invert_one_hot<U, V>(&self, one_hot: V) -> Result<C, Failed>
where
U: RealNumber,
V: BaseVector<U>,
V: Array1<U>,
{
let pos = U::one();
let oh_it = (0..one_hot.len()).map(|idx| one_hot.get(idx));
let oh_it = (0..one_hot.shape()).map(|idx| one_hot.get(idx));
let s: Vec<usize> = oh_it
.enumerate()
.filter_map(|(idx, v)| if v == pos { Some(idx) } else { None })
.filter_map(|(idx, v)| if *v == pos { Some(idx) } else { None })
.collect();
if s.len() == 1 {
@@ -187,7 +187,7 @@ where
pub fn make_one_hot<T, V>(category_idx: usize, num_categories: usize) -> V
where
T: RealNumber,
V: BaseVector<T>,
V: Array1<T>,
{
let pos = T::one();
let mut z = V::zeros(num_categories);