Bump sbt to 1.5.0; Update docs

Author: EmergentOrder

.travis.yml

@@ -2,7 +2,7 @@ language: scala
 install:
   - |
     # update this only when sbt-the-bash-script needs to be updated
-    export SBT_LAUNCHER=1.5.0-RC2
+    export SBT_LAUNCHER=1.5.0
     export SBT_OPTS="-Dfile.encoding=UTF-8"
     curl -L --silent "https://github.com/sbt/sbt/releases/download/v$SBT_LAUNCHER/sbt-$SBT_LAUNCHER.tgz" > $HOME/sbt.tgz
     tar zxf $HOME/sbt.tgz -C $HOME

FineGrainedAPI.md

@@ -45,8 +45,6 @@ Note that in real use backends should be closed to prevent native memory leaks
 
 This API is expressed via traits, with version-named methods. For example, Abs, the absolute value operator (defined here for operator set 6):
 
-\* Up to roughly the intersection of supported ops in ONNX Runtime and ONNX.js
-
 ```scala
 import scala.{specialized => sp}
 import spire.math._

README.md

@@ -89,11 +89,14 @@ Currently at ONNX 1.8.0 (Backward compatible to at least 1.2.0 for the full mode
 
 ### Fine-grained API
 A complete\*, versioned, numerically generic, type-safe / typeful API to ONNX(Open Neural Network eXchange, an open format to represent deep learning and classical machine learning models), derived from the Protobuf definitions and the operator schemas (defined in C++). 
+
 We also provide implementations for each operator in terms of a generic core operator method to be implemented by the backend.
 For more details on the low-level fine-grained API see [here](FineGrainedAPI.md)
 
 The preferred high-level fine-grained API, most suitable for the end user, is [NDScala](https://github.com/SciScala/NDScala)
 
+\* Up to roughly the intersection of supported ops in ONNX Runtime and ONNX.js
+
 #### Training
 Automatic differentiation to enable training is under consideration (ONNX currently provides facilities for training as a tech preview only).
 

project/build.properties

@@ -1 +1 @@
-sbt.version=1.5.0-RC2
+sbt.version=1.5.0