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

* 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>

Cargo.toml

@@ -2,9 +2,9 @@
 name = "smartcore"
 description = "The most advanced machine learning library in rust."
 homepage = "https://smartcorelib.org"
-version = "0.2.1"
+version = "0.4.0"
 authors = ["SmartCore Developers"]
-edition = "2018"
+edition = "2021"
 license = "Apache-2.0"
 documentation = "https://docs.rs/smartcore"
 repository = "https://github.com/smartcorelib/smartcore"
@@ -13,31 +13,27 @@ keywords = ["machine-learning", "statistical", "ai", "optimization", "linear-alg
 categories = ["science"]
 
 [features]
-default = ["datasets"]
+default = ["datasets", "serde"]
 ndarray-bindings = ["ndarray"]
-nalgebra-bindings = ["nalgebra"]
 datasets = ["rand_distr", "std"]
-fp_bench = ["itertools"]
 std = ["rand/std", "rand/std_rng"]
 # wasm32 only
 js = ["getrandom/js"]
 
 [dependencies]
+approx = "0.5.1"
+cfg-if = "1.0.0"
 ndarray = { version = "0.15", optional = true }
-nalgebra = { version = "0.31", optional = true }
-num-traits = "0.2"
+num-traits = "0.2.12"
 num = "0.4"
 rand = { version = "0.8", default-features = false, features = ["small_rng"] }
 rand_distr = { version = "0.4", optional = true }
 serde = { version = "1", features = ["derive"], optional = true }
-itertools = { version = "0.10.3", optional = true }
-cfg-if = "1.0.0"
 
 [target.'cfg(target_arch = "wasm32")'.dependencies]
 getrandom = { version = "0.2", optional = true }
 
 [dev-dependencies]
-smartcore = { path = ".", features = ["fp_bench"] }
 criterion = { version = "0.4", default-features = false }
 serde_json = "1.0"
 bincode = "1.3.1"
@@ -45,16 +41,19 @@ bincode = "1.3.1"
 [target.'cfg(target_arch = "wasm32")'.dev-dependencies]
 wasm-bindgen-test = "0.3"
 
-[[bench]]
-name = "distance"
-harness = false
+[profile.bench]
+debug = true
 
-[[bench]]
-name = "naive_bayes"
-harness = false
-required-features = ["ndarray-bindings", "nalgebra-bindings"]
+resolver = "2"
 
-[[bench]]
-name = "fastpair"
-harness = false
-required-features = ["fp_bench"]
+[profile.test]
+debug = 1
+opt-level = 3
+split-debuginfo = "unpacked"
+
+[profile.release]
+strip = true 
+debug = 1
+lto = true
+codegen-units = 1
+overflow-checks = true