README.md in xgb-0.1.3 vs README.md in xgb-0.2.0

@@ -1,30 +1,22 @@
-# Xgb
+# XGBoost
 
-[XGBoost](https://github.com/dmlc/xgboost) - the high performance machine learning library - for Ruby
+[XGBoost](https://github.com/dmlc/xgboost) - high performance gradient boosting - for Ruby
 
-:fire: Uses the C API for blazing performance
+[![Build Status](https://travis-ci.org/ankane/xgboost.svg?branch=master)](https://travis-ci.org/ankane/xgboost)
 
-[![Build Status](https://travis-ci.org/ankane/xgb.svg?branch=master)](https://travis-ci.org/ankane/xgb)
-
 ## Installation
 
-First, [install XGBoost](https://xgboost.readthedocs.io/en/latest/build.html). For Homebrew, use:
-
-```sh
-brew install xgboost
-```
-
 Add this line to your application’s Gemfile:
 
 ```ruby
 gem 'xgb'
 ```
 
 ## Getting Started
 
-This library follows the [Python API](https://xgboost.readthedocs.io/en/latest/python/python_api.html), with the `get_` and `set_` prefixes removed from methods. Some methods and options are missing at the moment. PRs welcome!
+This library follows the [Python API](https://xgboost.readthedocs.io/en/latest/python/python_api.html), with the `get_` and `set_` prefixes removed from methods to make it more Ruby-like.
 
 ## Learning API
 
 Prep your data
 
@@ -35,18 +27,18 @@
 
 Train a model
 
 ```ruby
 params = {objective: "reg:squarederror"}
-dtrain = Xgb::DMatrix.new(x, label: y)
-booster = Xgb.train(params, dtrain)
+dtrain = XGBoost::DMatrix.new(x, label: y)
+booster = XGBoost.train(params, dtrain)
 ```
 
 Predict
 
 ```ruby
-dtest = Xgb::DMatrix.new(x)
+dtest = XGBoost::DMatrix.new(x)
 booster.predict(dtest)
 ```
 
 Save the model to a file
 
@@ -55,11 +47,11 @@
 ```
 
 Load the model from a file
 
 ```ruby
-booster = Xgb::Booster.new(model_file: "my.model")
+booster = XGBoost::Booster.new(model_file: "my.model")
 ```
 
 Get the importance of features
 
 ```ruby
@@ -67,19 +59,26 @@
 ```
 
 Early stopping
 
 ```ruby
-Xgb.train(params, dtrain, evals: [[dtrain, "train"], [dtest, "eval"]], early_stopping_rounds: 5)
+XGBoost.train(params, dtrain, evals: [[dtrain, "train"], [dtest, "eval"]], early_stopping_rounds: 5)
 ```
 
 CV
 
 ```ruby
-Xgb.cv(params, dtrain, nfold: 3, verbose_eval: true)
+XGBoost.cv(params, dtrain, nfold: 3, verbose_eval: true)
 ```
 
+Set metadata about a model [master]
+
+```ruby
+booster["key"] = "value"
+booster.attributes
+```
+
 ## Scikit-Learn API
 
 Prep your data
 
 ```ruby
@@ -88,15 +87,15 @@
 ```
 
 Train a model
 
 ```ruby
-model = Xgb::Regressor.new
+model = XGBoost::Regressor.new
 model.fit(x, y)
 ```
 
-> For classification, use `Xgb::Classifier`
+> For classification, use `XGBoost::Classifier`
 
 Predict
 
 ```ruby
 model.predict(x)
@@ -146,28 +145,10 @@
 
 ```ruby
 Numo::DFloat.new(3, 2).seq
 ```
 
-## XGBoost Installation
-
-There’s an experimental branch that includes XGBoost with the gem for easiest installation.
-
-```ruby
-gem 'xgb', github: 'ankane/xgb', branch: 'vendor', submodules: true
-```
-
-Please file an issue if it doesn’t work for you.
-
-You can also specify the path to XGBoost in an initializer:
-
-```ruby
-Xgb.ffi_lib << "/path/to/xgboost/lib/libxgboost.so"
-```
-
-> Use `libxgboost.dylib` for Mac and `xgboost.dll` for Windows
-
 ## Helpful Resources
 
 - [Parameters](https://xgboost.readthedocs.io/en/latest/parameter.html)
 - [Parameter Tuning](https://xgboost.readthedocs.io/en/latest/tutorials/param_tuning.html)
 
@@ -180,15 +161,24 @@
 
 Thanks to the [xgboost](https://github.com/PairOnAir/xgboost-ruby) gem for serving as an initial reference.
 
 ## History
 
-View the [changelog](https://github.com/ankane/xgb/blob/master/CHANGELOG.md)
+View the [changelog](https://github.com/ankane/xgboost/blob/master/CHANGELOG.md)
 
 ## Contributing
 
 Everyone is encouraged to help improve this project. Here are a few ways you can help:
 
-- [Report bugs](https://github.com/ankane/xgb/issues)
-- Fix bugs and [submit pull requests](https://github.com/ankane/xgb/pulls)
+- [Report bugs](https://github.com/ankane/xgboost/issues)
+- Fix bugs and [submit pull requests](https://github.com/ankane/xgboost/pulls)
 - Write, clarify, or fix documentation
 - Suggest or add new features
+
+To get started with development and testing:
+
+```sh
+git clone https://github.com/ankane/xgboost.git
+cd xgboost
+bundle install
+bundle exec rake test
+```