Merge branch 'master' into 2.6

Author: andrewdalpino

.github/workflows/cla.yml

@@ -12,7 +12,7 @@ A high-level machine learning and deep learning library for the [PHP](https://ph
 ## Installation
 Install Rubix ML into your project using [Composer](https://getcomposer.org/):
 ```sh
-$ composer require rubix/ml
+composer require rubix/ml
 ```
 
 ### Requirements
@@ -30,13 +30,13 @@ $ composer require rubix/ml
 - [GraphViz](https://graphviz.org/) for graph visualization
 
 ## Documentation
-Read the latest docs [here](https://docs.rubixml.com).
+Read the latest docs [here](https://rubixml.github.io/ML/latest/).
 
 ## What is Rubix ML?
 Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We provide tools for the entire machine learning life cycle from ETL to training, cross-validation, and production with over 40 supervised and unsupervised learning algorithms. In addition, we provide tutorials and other educational content to help you get started using ML in your projects.
 
 ## Getting Started
-If you are new to machine learning, we recommend taking a look at the [What is Machine Learning?](https://docs.rubixml.com/latest/what-is-machine-learning.html) section to get started. If you are already familiar with basic ML concepts, you can browse the [basic introduction](https://docs.rubixml.com/latest/basic-introduction.html) for a brief look at a typical Rubix ML project. From there, you can browse the official tutorials below which range from beginner to advanced skill level.
+If you are new to machine learning, we recommend taking a look at the [What is Machine Learning?](https://rubixml.github.io/ML/latest/what-is-machine-learning.html) section to get started. If you are already familiar with basic ML concepts, you can browse the [basic introduction](https://rubixml.github.io/ML/latest/basic-introduction.html) for a brief look at a typical Rubix ML project. From there, you can browse the official tutorials below which range from beginner to advanced skill level.
 
 ### Tutorials & Example Projects
 Check out these example projects using the Rubix ML library. Many come with instructions and a pre-cleaned dataset.

README.md

@@ -2,7 +2,7 @@
     "name": "rubix/ml",
     "type": "library",
     "description": "A high-level machine learning and deep learning library for the PHP language.",
-    "homepage": "https://rubixml.com",
+    "homepage": "https://rubixml.github.io/ML/latest/",
     "license": "MIT",
     "readme": "README.md",
     "keywords": [
@@ -103,7 +103,7 @@
         }
     ],
     "support": {
-        "docs": "https://docs.rubixml.com",
+        "docs": "https://rubixml.github.io/ML/latest/",
         "issues": "https://github.com/RubixML/ML/issues",
         "source": "https://github.com/RubixML/ML",
         "chat": "https://t.me/RubixML"

composer.json

@@ -23,7 +23,7 @@ use Rubix\ML\Clusterers\MeanShift;
 use Rubix\ML\Graph\Trees\BallTree;
 use Rubix\ML\Clusterers\Seeders\KMC2;
 
-$estimator = new MeanShift(2.5, 2000, 1e-6, 0.05, new BallTree(100), new KMC2());
+$estimator = new MeanShift(2.5, 0.05, 2000, 1e-6, new BallTree(100), new KMC2());
 ```
 
 ## Additional Methods

docs/clusterers/mean-shift.md

@@ -39,7 +39,7 @@ Training time depends on a number of factors including size of the dataset and c
 - You have enough RAM to hold the dataset and model in memory without swapping to disk.
 
 ## Does Rubix ML support multiprocessing/multithreading?
-Yes, learners that support parallel processing (multiprocessing or multithreading) do so by utilizing a pluggable parallel computing backend such as [Amp](https://docs.rubixml.com/latest/backends/amp.html) or extension such as [Tensor](https://github.com/RubixML/Tensor) under the hood.
+Yes, learners that support parallel processing (multiprocessing or multithreading) do so by utilizing a pluggable parallel computing backend such as [Amp](https://rubixml.github.io/ML/latest/backends/amp.html) or extension such as [Tensor](https://github.com/RubixML/Tensor) under the hood.
 
 ## Does Rubix ML support Deep Learning?
 Yes, a number of learners in the library support Deep Learning including the [Multilayer Perceptron](classifiers/multilayer-perceptron.md) classifier and [MLP Regressor](regressors/mlp-regressor.md).

docs/faq.md

@@ -10,7 +10,7 @@ theme:
     - navigation.tabs
 
 nav:
-  - Home: https://rubixml.com
+  - Home: https://rubixml.github.io/ML
   - Getting Started:
     - Welcome: index.md
     - What is Machine Learning?: what-is-machine-learning.md
@@ -329,7 +329,7 @@ extra_css:
   - css/custom.css
 
 repo_url: https://github.com/RubixML/ML
-site_url: https://rubixml.com
+site_url: https://rubixml.github.io/ML
 site_description: 'A high-level machine learning and deep learning library for the PHP language.'
 
 copyright: '© 2022 The Rubix ML Community'

mkdocs.yml

@@ -494,7 +494,7 @@ public function __serialize() : array
     {
         $properties = get_object_vars($this);
 
-        unset($properties['losses']);
+        unset($properties['losses'], $properties['logger']);
 
         return $properties;
     }

src/Classifiers/AdaBoost.php

@@ -475,7 +475,7 @@ public function __serialize() : array
     {
         $properties = get_object_vars($this);
 
-        unset($properties['losses']);
+        unset($properties['losses'], $properties['logger']);
 
         return $properties;
     }

src/Classifiers/LogisticRegression.php

@@ -657,7 +657,7 @@ public function __serialize() : array
     {
         $properties = get_object_vars($this);
 
-        unset($properties['losses'], $properties['scores']);
+        unset($properties['losses'], $properties['scores'], $properties['logger']);
 
         return $properties;
     }

src/Classifiers/LogitBoost.php

@@ -574,7 +574,7 @@ public function __serialize() : array
     {
         $properties = get_object_vars($this);
 
-        unset($properties['losses'], $properties['scores']);
+        unset($properties['losses'], $properties['scores'], $properties['logger']);
 
         return $properties;
     }