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-GoLearn
-=======
-
-<img src="http://talks.golang.org/2013/advconc/gopherhat.jpg" width=125><br>
-
-This is the GoLearn Wiki (welcome!). GoLearn is a "batteries included" machine learning library written for and in Go. [Go check us out on Github](https://github.com/sjwhitworth/golearn).
-
-
-[Installation](Installation) |
-[Loading data](Instances) | 
-[Filtering](Filtering) | 
-Classification ([KNN](KNN) | [Trees](Trees) | [liblinear](liblinear)) | [Regression](Regression)
-
-## Quick start
-* [Using CSV files](Parsing CSV files)
-* [Dividing data into training and test sets](TrainTestSplit) (not written)
-
-## Code excerpts and examples
-* [Sorting data](Instances)
-* [Reading CSV files](Parsing CSV files)
-* [Histogram binning](Filtering)
-* [Chi-Merge binning](Filtering)
-* [Setting the precision of a `FloatAttribute`](FloatAttribute precision)
-* [Adding an Attribute](Adding Attributes)
-* [Retrieving Attribute values](Attribute Specifications)
-
-## Future 
-[Contributing](Contributing)
-### The wish-list
-* Expectation maximisation
-* Native guided tree structures
-* Support for time series processing
-* Support for disk-backed `DenseInstances`
-* SoftMax neural networks
-* Deep-learning primitives (recursive neural networks)
-* Recurrent neural networks
-* Image manipulation
-* Relational and pointer Attributes
-* Support for sparse binary spaces
+GoLearn
+=======
+
+<img src="http://talks.golang.org/2013/advconc/gopherhat.jpg" width=125><br>
+
+This is the GoLearn Wiki (welcome!). GoLearn is a "batteries included" machine learning library written for and in Go. [Go check us out on Github](https://github.com/sjwhitworth/golearn).
+
+
+[Installation](Installation) |
+[Loading data](Instances) | 
+[Filtering](Filtering) | 
+Classification ([KNN](KNN) | [Trees](Trees) | [liblinear](liblinear)) | [Regression](Regression)
+
+## Quick start
+* [Using CSV files](Parsing CSV files)
+* [Dividing data into training and test sets](TrainTestSplit) (not written)
+
+## Code excerpts and examples
+* [Sorting data](Instances)
+* [Reading CSV files](Parsing CSV files)
+* [Histogram binning](Filtering)
+* [Chi-Merge binning](Filtering)
+* [Setting the precision of a `FloatAttribute`](FloatAttribute precision)
+* [Adding an Attribute](Adding Attributes)
+* [Retrieving Attribute values](Attribute Specifications)
+* [Implementing a custom `DataGrid`](Custom DataGrids)
+
+## Future 
+[Contributing](Contributing)
+### The wish-list
+* Expectation maximisation
+* Native guided tree structures
+* Support for time series processing
+* Support for disk-backed `DenseInstances`
+* SoftMax neural networks
+* Deep-learning primitives (recursive neural networks)
+* Recurrent neural networks
+* Image manipulation
+* Relational and pointer Attributes
+* Support for sparse binary spaces
 * Support for arbitrary insertion and deletion of Attributes
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