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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/dataset/generator.rs
+4 -4
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@@ -48,7 +48,7 @@ pub fn make_blobs(
}
/// Make a large circle containing a smaller circle in 2d.
pub fn make_circles(num_samples: usize, factor: f32, noise: f32) -> Dataset<f32, f32> {
pub fn make_circles(num_samples: usize, factor: f32, noise: f32) -> Dataset<f32, u32> {
if !(0.0..1.0).contains(&factor) {
panic!("'factor' has to be between 0 and 1.");
}
@@ -79,7 +79,7 @@ pub fn make_circles(num_samples: usize, factor: f32, noise: f32) -> Dataset<f32,
Dataset {
data: x,
target: y,
target: y.into_iter().map(|x| x as u32).collect(),
num_samples,
num_features: 2,
feature_names: (0..2).map(|n| n.to_string()).collect(),
@@ -89,7 +89,7 @@ pub fn make_circles(num_samples: usize, factor: f32, noise: f32) -> Dataset<f32,
}
/// Make two interleaving half circles in 2d
pub fn make_moons(num_samples: usize, noise: f32) -> Dataset<f32, f32> {
pub fn make_moons(num_samples: usize, noise: f32) -> Dataset<f32, u32> {
let num_samples_out = num_samples / 2;
let num_samples_in = num_samples - num_samples_out;
@@ -116,7 +116,7 @@ pub fn make_moons(num_samples: usize, noise: f32) -> Dataset<f32, f32> {
Dataset {
data: x,
target: y,
target: y.into_iter().map(|x| x as u32).collect(),
num_samples,
num_features: 2,
feature_names: (0..2).map(|n| n.to_string()).collect(),