Add average perceptron file

Rough out logic flow for an average perceptron

Fleshed out example data. Working on FixedDataGrid
support.

Dont use Binary use Float

Update processData to use base helpers to read csv

Move class to end of feature list

Add test for processData

process data to instances

Create path fixed

Add test around Fit. First steps

Modified example, added tests, small fixes

examples/averageperceptron/averageperceptionexample.go

@@ -0,0 +1,34 @@
+package main
+
+import (
+	"fmt"
+	base "github.com/sjwhitworth/golearn/base"
+	evaluation "github.com/sjwhitworth/golearn/evaluation"
+	perceptron "github.com/sjwhitworth/golearn/perceptron"
+	"math/rand"
+)
+
+func main() {
+
+	rand.Seed(4402201)
+
+	rawData, err := base.ParseCSVToInstances("../datasets/house-votes-84.csv", true)
+	if err != nil {
+		panic(err)
+	}
+
+	//Initialises a new AveragePerceptron classifier
+	cls := perceptron.NewAveragePerceptron(10, 1.2, 0.5, 0.3)
+
+	//Do a training-test split
+	trainData, testData := base.InstancesTrainTestSplit(rawData, 0.50)
+	fmt.Println(trainData)
+	fmt.Println(testData)
+	cls.Fit(trainData)
+
+	predictions := cls.Predict(testData)
+
+	// Prints precision/recall metrics
+	confusionMat := evaluation.GetConfusionMatrix(testData, predictions)
+	fmt.Println(evaluation.GetSummary(confusionMat))
+}