Update readme and boostAODE docs

README.md

@@ -9,7 +9,16 @@
 
 Bayesian Network Classifiers using libtorch from scratch
 
-## Installation
+## Dependencies
+
+The only external dependency is [libtorch](https://pytorch.org/cppdocs/installing.html) which can be installed with the following commands:
+
+```bash
+wget https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip
+unzip libtorch-shared-with-deps-latest.zips
+```
+
+## Setup
 
 ### Release
 

docs/BoostAODE.md

@@ -64,4 +64,4 @@ The algorithm performs the following steps:
 
    - Number of models > ***maxModels*** if ***repeatSparent*** is set.
 
-### [Proposal for *predict_single = false*](./BoostAODE_train_predict.pdf)
+### [Algorithm](./algorithm.md)