README.md in eps-0.3.4 vs README.md in eps-0.3.5

@@ -311,23 +311,36 @@
 x = [{x: 1}, {x: 2}, {x: 3}]
 y = [1, 2, 3]
 Eps::Model.new(x, y)
 ```
 
-Or pass arrays of arrays
+Data can be an array of arrays
 
 ```ruby
 x = [[1, 2], [2, 0], [3, 1]]
 y = [1, 2, 3]
 Eps::Model.new(x, y)
 ```
 
-### Daru
+Or Numo arrays
 
-Eps works well with Daru data frames.
+```ruby
+x = Numo::NArray.cast([[1, 2], [2, 0], [3, 1]])
+y = Numo::NArray.cast([1, 2, 3])
+Eps::Model.new(x, y)
+```
 
+Or a Rover data frame
+
 ```ruby
+df = Rover.read_csv("houses.csv")
+Eps::Model.new(df, target: "price")
+```
+
+Or a Daru data frame
+
+```ruby
 df = Daru::DataFrame.from_csv("houses.csv")
 Eps::Model.new(df, target: "price")
 ```
 
 ### CSVs
@@ -349,9 +362,17 @@
 Eps supports:
 
 - LightGBM (default)
 - Linear Regression
 - Naive Bayes
+
+### LightGBM
+
+Pass the learning rate with:
+
+```ruby
+Eps::Model.new(data, learning_rate: 0.01)
+```
 
 ### Linear Regression
 
 #### Performance