update

Signed-off-by: FL03 <jo3mccain@icloud.com>

.github/dependabot.yml

@@ -4,48 +4,52 @@ updates:
   - package-ecosystem: cargo
     directory: /
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: github-actions
     directory: /
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /concision
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /core
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /data
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /derive
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /macros
     schedule:
-      interval: weekly
+      interval: monthly
+  - package-ecosystem: cargo
+    directory: /math
+    schedule:
+      interval: monthly
   - package-ecosystem: cargo
     directory: /models/gnn
     schedule:
-      interval: weekly
+      interval: monthly
   - package-ecosystem: cargo
     directory: /models/kan
     schedule:
-      interval: weekly
-  - directory: /models/linear
-    package-ecosystem: cargo
+      interval: monthly
+  - package-ecosystem: cargo
+    directory: /models/linear
     schedule:
-      interval: weekly
-  - directory: /models/s4
-    package-ecosystem: cargo
+      interval: monthly
+  - package-ecosystem: cargo
+    directory: /models/s4
     schedule:
-      interval: weekly
-  - directory: /models/transformer
-    package-ecosystem: cargo
+      interval: monthly
+  - package-ecosystem: cargo
+    directory: /models/transformer
     schedule:
-      interval: weekly
+      interval: monthly

concision/Cargo.toml

@@ -12,7 +12,7 @@ repository.workspace  = true
 version.workspace     = true
 
 [features]
-default = ["data", "math", "std"]
+default = ["data", "std"]
 full = [
     "approx",
     "default",
@@ -33,8 +33,6 @@ derive = ["dep:concision-derive", "macros"]
 
 macros = ["dep:concision-macros"]
 
-math = ["dep:concision-math"]
-
 # ********* [FF] Models(s) *********
 models = []
 
@@ -55,7 +53,6 @@ alloc = [
     "concision-gnn?/alloc",
     "concision-kan?/alloc",
     "concision-linear?/alloc",
-    "concision-math?/alloc",
     "concision-s4?/alloc",
     "concision-transformer?/alloc",
 ]
@@ -66,7 +63,6 @@ approx = [
     "concision-gnn?/approx",
     "concision-kan?/approx",
     "concision-linear?/approx",
-    "concision-math?/approx",
     "concision-s4?/approx",
     "concision-transformer?/approx",
 ]
@@ -87,7 +83,6 @@ serde = [
     "concision-gnn?/serde",
     "concision-kan?/serde",
     "concision-linear?/serde",
-    "concision-math?/serde",
     "concision-s4?/serde",
     "concision-transformer?/serde",
 ]
@@ -98,7 +93,6 @@ tracing = [
     "concision-gnn?/tracing",
     "concision-kan?/tracing",
     "concision-linear?/tracing",
-    "concision-math?/tracing",
     "concision-s4?/tracing",
     "concision-transformer?/tracing",
 ]
@@ -111,7 +105,6 @@ std = [
     "concision-gnn?/std",
     "concision-kan?/std",
     "concision-linear?/std",
-    "concision-math?/std",
     "concision-s4?/std",
     "concision-transformer?/std",
 ]
@@ -123,7 +116,6 @@ blas = [
     "concision-gnn?/blas",
     "concision-kan?/blas",
     "concision-linear?/blas",
-    "concision-math?/blas",
     "concision-s4?/blas",
     "concision-transformer?/blas",
 ]
@@ -161,7 +153,6 @@ concision-core   = { path = "../core", version = "0.1.16" }
 concision-data   = { optional = true, path = "../data", version = "0.1.16" }
 concision-derive = { optional = true, path = "../derive", version = "0.1.16" }
 concision-macros = { optional = true, path = "../macros", version = "0.1.16" }
-concision-math   = { optional = true, path = "../math", version = "0.1.16" }
 
 # *************** Models ***************
 concision-gnn         = { optional = true, path = "../models/gnn", version = "0.1.16" }

concision/src/lib.rs

@@ -27,9 +27,6 @@ pub use concision_kan as kan;
 pub use concision_linear as linear;
 #[cfg(feature = "macros")]
 pub use concision_macros::*;
-#[cfg(feature = "math")]
-#[doc(inline)]
-pub use concision_math as math;
 #[cfg(feature = "s4")]
 #[doc(inline)]
 pub use concision_s4 as s4;
@@ -38,6 +35,7 @@ pub use concision_s4 as s4;
 pub use concision_transformer as transformer;
 
 pub mod prelude {
+    pub use concision_core::prelude::*;
     #[cfg(feature = "gnn")]
     pub use crate::gnn::prelude::*;
     #[cfg(feature = "kan")]
@@ -48,7 +46,6 @@ pub mod prelude {
     pub use crate::s4::prelude::*;
     #[cfg(feature = "transformer")]
     pub use crate::transformer::prelude::*;
-    pub use concision_core::prelude::*;
     #[cfg(feature = "data")]
     pub use concision_data::prelude::*;
     #[cfg(feature = "derive")]

core/Cargo.toml

@@ -14,30 +14,29 @@ version.workspace = true
 
 [features]
 default = ["std"]
-
 full = ["default", "approx", "rand", "serde", "tracing"]
 
-# [FF] Dependencies
+# ********* [FF] Dependencies *********
 alloc = [
+    "concision-math/alloc",
     "num/alloc",
     "rand?/alloc",
     "rand_distr?/alloc",
     "scsys/alloc",
     "serde?/alloc",
 ]
 
-approx = ["dep:approx", "ndarray/approx"]
-
-blas = ["ndarray/blas"]
+approx = ["dep:approx", "ndarray/approx", "concision-math/approx"]
 
-rand = ["dep:rand", "dep:rand_distr", "dep:ndarray-rand", "rand-ext"]
+blas = ["ndarray/blas", "concision-math/blas"]
 
-rand-ext = ["num/rand", "uuid/rng", "uuid/v4"]
+rand = ["dep:rand", "dep:rand_distr", "dep:ndarray-rand", "num/rand", "uuid/rng", "uuid/v4"]
 
 std-rng = ["rand?/std", "rand?/std_rng"]
 
 serde = [
     "dep:serde",
+    "concision-math/serde",
     "ndarray/serde",
     "num/serde",
     "rand?/serde1",
@@ -46,11 +45,12 @@ serde = [
     "uuid/serde",
 ]
 
-tracing = ["dep:tracing"]
+tracing = ["dep:tracing", "concision-math/tracing"]
 
 # ********* [FF] Environments *********
 std = [
     "alloc",
+    "concision-math/std",
     "std-rng",
     "ndarray/std",
     "num/std",
@@ -85,7 +85,8 @@ name = "nn"
 lazy_static.workspace = true
 
 [dependencies]
-concision-math = { path = "../math", version = "0.1.16" }
+concision-math = { default-features = false, path = "../math", version = "0.1.16" }
+
 ndarray.workspace = true
 num.workspace = true
 paste.workspace = true

core/src/func/activate/utils.rs

@@ -2,7 +2,7 @@
     Appellation: utils <module>
     Contrib: FL03 <jo3mccain@icloud.com>
 */
-use math::Exp;
+use concision_math::Exp;
 use nd::prelude::{Array, ArrayBase, Axis, Dimension};
 use nd::{Data, RemoveAxis, ScalarOperand};
 use num::complex::ComplexFloat;

core/src/func/loss/reg/avg.rs

@@ -2,9 +2,8 @@
     Appellation: avg <module>
     Contrib: FL03 <jo3mccain@icloud.com>
 */
-use math::{Abs, Squared};
-use ndarray::prelude::*;
-use ndarray::{Data, ScalarOperand};
+use concision_math::{Abs, Squared};
+use ndarray::{ArrayBase, Data, Dimension, ScalarOperand};
 use num::traits::{FromPrimitive, Num, Pow, Signed};
 
 pub trait MeanAbsoluteError<Rhs = Self> {

core/src/func/loss/utils.rs

@@ -2,9 +2,8 @@
     Appellation: utils <loss>
     Contrib: FL03 <jo3mccain@icloud.com>
 */
-use math::{Abs, Squared};
-use nd::prelude::*;
-use nd::{Data, ScalarOperand};
+use concision_math::{Abs, Squared};
+use ndarray::{ArrayBase, Data, Dimension, ScalarOperand};
 use num::traits::{FromPrimitive, Num, Pow, Signed};
 
 /// A functional implementation of the mean absolute error loss function which compares two similar

core/src/lib.rs

@@ -2,20 +2,31 @@
    Appellation: core <library>
    Contrib: FL03 <jo3mccain@icloud.com>
 */
-//! # concision-core
-//!
-//! This crate is the core library for the Concision project. It provides the basic building blocks for creating neural networks and other machine learning models.
+//! The core modules of the `concision` sdk implement the building blocks for neural networks and other machine learning models.
+//! 
+//! ## Overview
+//! 
+//! `concision` and its constituent modules are designed to be a lightweight, flexible, and efficient machine learning library built around
+//! well-documented and tested abstractions. The core modules provide the following:
+//! 
+//! - **Neural Network Layers**: A collection of neural network layers and activation functions.
+//! - **Optimization Algorithms**: A collection of optimization algorithms for training neural networks.
+//! - **Loss Functions**: A collection of loss functions for training neural networks.
+//! - **Initialization Strategies**: A collection of initialization strategies for initializing neural network weights.
 #![cfg_attr(not(feature = "std"), no_std)]
 #![crate_name = "concision_core"]
 
 #[cfg(feature = "alloc")]
 extern crate alloc;
 
-extern crate concision_math as math;
 extern crate ndarray as nd;
+
 #[cfg(feature = "rand")]
 extern crate ndarray_rand as ndrand;
 
+#[doc(inline)]
+pub use concision_math as math;
+
 pub use self::error::{Error, ModelError, Result};
 pub use self::func::Activate;
 pub use self::nn::Module;