Update to Rubix ML 0.3.0

Author: andrewdalpino

README.md

@@ -133,9 +133,9 @@ Unlabeled::build(array_transpose([$scores, $losses]))
 
 Here is an example of what the validation score and training loss look like when plotted. You can plot the values yourself by importing the `progress.csv` file into your favorite plotting software.
 
-![R Squared Score](https://raw.githubusercontent.com/RubixML/Housing/master/docs/images/validation-score.svg?sanitize=true)
+![R Squared Score](https://raw.githubusercontent.com/RubixML/Housing/master/docs/images/validation-score.png)
 
-![L2 Loss](https://raw.githubusercontent.com/RubixML/Housing/master/docs/images/training-loss.svg?sanitize=true)
+![L2 Loss](https://raw.githubusercontent.com/RubixML/Housing/master/docs/images/training-loss.png)
 
 
 ### Saving

composer.json

@@ -13,17 +13,13 @@
     "authors": [
         {
             "name": "Andrew DalPino",
-            "email": "me@andrewdalpino.com",
-            "homepage": "https://andrewdalpino.com",
+            "homepage": "https://github.com/andrewdalpino",
             "role": "Lead Engineer"
         }
     ],
     "require": {
         "php": ">=7.2",
-        "rubix/ml": "^0.1.0"
-    },
-    "suggest": {
-        "ext-tensor": "For faster training and inference"
+        "rubix/ml": "^0.3.0"
     },
     "scripts": {
         "predict": "@php predict.php",