Golearn's model for machine learning problems will be familiar if you've used SciPy, WEKA or R. Data is represented as a flat table, analogous to a spreadsheet, and used for training and prediction. The structure which implements this table is called Instances.
Sorting Instances
Sort implements an in-place radix sort. It accepts a sort direction (Ascending or Descending) and a slice of integer Attribute positions.
Code excerpt: sorting instances
inst, _ := base.ParseCSVToInstances
attrs := make([]int, 4)
attrs[0] = 3
attrs[1] = 2
attrs[2] = 1
attrs[3] = 0
inst.Sort(Descending, attrs)
Because radix sort isn't stable (maintaining the original order of sorted elements is not guaranteed), sort by all of the Attributes available to get a consistent result.
Sample application
examples/instances/instances.go is a sample which reads iris_headers.csv. The ParseCSVToInstances reads the CSV file into a new Instances structure and creates appropriately named and typed attributes. This sample also demonstrates manually constructing Instances.
Attributes
Instances currently stores everything as 64-bit (8 byte) floating point values. Attributes determine how this value is interpreted:
CategoricalAttributesrepresent discrete strings which can only take a fixed number of values.FloatAttributesreport the underlying value without modification.
Both FloatAttributes and CategoricalAttributes have a number of functions to control presentation, covered in more detail within the linked documentation.
Manipulation of CategoricalAttributes
You can add values to a CategoricalAttribute using Instances.SetAttrStr with the appropriate column index. It's important to use this method after adding the CategoricalAttribute, otherwise printing the Instances may panic. You can also call GetSysValFromString on the Attribute itself, which appends a value if unrecognised.
Support status
| Operating Systems | Mac OS X 10.8 Ubuntu 14.04 |
| Go version | 1.2 |
| GoLearn version | 0.1 |
| Support status | Current |
| Next revision | On version upgrade |