README.md in isotree-0.1.5

- old
+ new
@@ -40,10 +40,11 @@
 * Supports user-provided column sample weights.
 * Can sample columns randomly with weights given by kurtosis.
 * Uses exact formula (not approximation as others do) for harmonic numbers at lower sample and remainder sizes.
 * Can fit trees incrementally to user-provided data samples.
 * Produces serializable model objects with reasonable file sizes.
-* Fast and multi-threaded C++ code. Can be wrapped in languages other than Python and R.
+* Can translate the generated trees into SQL statements.
+* Fast and multi-threaded C++ code. Can be wrapped in languages other than Python/R/Ruby.
 
 (Note that categoricals, NAs, and density-like sample weights, are treated heuristically with different options as there is no single logical extension of the original idea to them, and having them present might degrade performance/accuracy for regular numerical non-missing observations)
 
 # Installation
 