From b09b02548a41358a5ff970f301a34f6290227d6a Mon Sep 17 00:00:00 2001 From: Sentimentron Date: Tue, 30 Sep 2014 13:40:40 -0700 Subject: [PATCH] Updated Home (markdown) --- Home.md | 79 +++++++++++++++++++++++++++++---------------------------- 1 file changed, 40 insertions(+), 39 deletions(-) diff --git a/Home.md b/Home.md index 74ba41c..2e99436 100644 --- a/Home.md +++ b/Home.md @@ -1,40 +1,41 @@ -GoLearn -======= - -
- -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 +======= + +
+ +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 \ No newline at end of file