README.md in eps-0.3.0 vs README.md in eps-0.3.1

@@ -367,10 +367,16 @@
 gem 'gsl', group: :development
 ```
 
 It only needs to be available in environments used to build the model.
 
+By default, an intercept is included. Disable this with:
+
+```ruby
+Eps::Model.new(data, intercept: false)
+```
+
 ## Validation Options
 
 Pass your own validation set with:
 
 ```ruby
@@ -387,10 +393,16 @@
 
 ```ruby
 Eps::Model.new(data, split: {validation_size: 0.2})
 ```
 
+Disable the validation set completely with:
+
+```ruby
+Eps::Model.new(data, split: false)
+```
+
 ## Database Storage
 
 The database is another place you can store models. It’s good if you retrain models automatically.
 
 > We recommend adding monitoring and guardrails as well if you retrain automatically
@@ -416,9 +428,31 @@
 ```
 
 ## Jupyter & IRuby
 
 You can use [IRuby](https://github.com/SciRuby/iruby) to run Eps in [Jupyter](https://jupyter.org/) notebooks. Here’s how to get [IRuby working with Rails](https://ankane.org/jupyter-rails).
+
+## Weights
+
+Specify a weight for each data point
+
+```ruby
+Eps::Model.new(data, weight: :weight)
+```
+
+You can also pass an array
+
+```ruby
+Eps::Model.new(data, weight: [1, 2, 3])
+```
+
+Weights are supported for metrics as well
+
+```ruby
+Eps.metrics(actual, predicted, weight: weight)
+```
+
+Reweighing is one method to [mitigate bias](http://aif360.mybluemix.net/) in training data
 
 ## Upgrading
 
 ## 0.3.0