Update to Rubix ML 0.3.0

LICENSE.md → LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2020 The Rubix ML Community
+Copyright (c) 2020 Rubix ML
 Copyright (c) 2020 Andrew DalPino
 
 Permission is hereby granted, free of charge, to any person obtaining a copy

README.md

@@ -27,4 +27,4 @@ stephen.tridgell '@' sydney.edu.au
 >- Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
 
 ## License
-The code is licensed [MIT](LICENSE.md) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).
+The code is licensed [MIT](LICENSE) and the tutorial is licensed [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/).

composer.json

@@ -3,7 +3,7 @@
     "type": "project",
     "description": "Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and the results of 102,944 sample games.",
     "homepage": "https://github.com/RubixML/Dota2",
-    "license": "Apache-2.0",
+    "license": "MIT",
     "keywords": [
         "classification", "cross validation", "dataset", "data science", "dota", "dota 2",
         "example project", "game outcome prediciton", "machine learning", "ml", "naive bayes",
@@ -12,14 +12,13 @@
     "authors": [
         {
             "name": "Andrew DalPino",
-            "email": "[email protected]",
-            "homepage": "https://andrewdalpino.com",
+            "homepage": "https://github.com/andrewdalpino",
             "role": "Lead Engineer"
         }
     ],
     "require": {
         "php": ">=7.2",
-        "rubix/ml": "^0.1.0"
+        "rubix/ml": "^0.3.0"
     },
     "scripts": {
         "train": "@php train.php",

train.php

@@ -22,4 +22,4 @@
 
 if (strtolower(readline('Save this model? (y|[n]): ')) === 'y') {
     $estimator->save();
-}
+}