From b015e072ba41424d8705cdb0bfef02f6a70b0dde Mon Sep 17 00:00:00 2001
From: Richard Townsend <richard@sentimentron.co.uk>
Date: Mon, 7 Sep 2020 21:37:18 +0100
Subject: [PATCH] fix: shift examples around

Was failing because two package names appeared in the same directory
---
 examples/trees/{ => cart}/cart.go                 | 9 ++++-----
 examples/trees/{trees.go => decision/decision.go} | 5 +++--
 2 files changed, 7 insertions(+), 7 deletions(-)
 rename examples/trees/{ => cart}/cart.go (88%)
 rename examples/trees/{trees.go => decision/decision.go} (97%)

diff --git a/examples/trees/cart.go b/examples/trees/cart/cart.go
similarity index 88%
rename from examples/trees/cart.go
rename to examples/trees/cart/cart.go
index 5a19cab..930891f 100644
--- a/examples/trees/cart.go
+++ b/examples/trees/cart/cart.go
@@ -7,7 +7,6 @@ import (
 
 	"github.com/sjwhitworth/golearn/base"
 	"github.com/sjwhitworth/golearn/trees"
-
 )
 
 func main() {
@@ -37,7 +36,7 @@ func main() {
 	*/
 
 	// Load Titanic Data For classification
-	classificationData, err := base.ParseCSVToInstances("../datasets/titanic.csv", false)
+	classificationData, err := base.ParseCSVToInstances("../../datasets/titanic.csv", false)
 	if err != nil {
 		panic(err)
 	}
@@ -45,7 +44,7 @@ func main() {
 
 	// Create New Classification Tree
 	// Hyperparameters - loss function, max Depth (-1 will split until pure), list of unique labels
-	decTree := NewDecisionTreeClassifier("entropy", -1, []int64{0, 1})
+	decTree := trees.NewDecisionTreeClassifier("entropy", -1, []int64{0, 1})
 
 	// Train Tree
 	err = decTree.Fit(trainData)
@@ -65,14 +64,14 @@ func main() {
 	fmt.Println(decTree.Evaluate(testData))
 
 	// Load House Price Data For Regression
-	regressionData, err := base.ParseCSVToInstances("../datasets/boston_house_prices.csv", false)
+	regressionData, err := base.ParseCSVToInstances("../../datasets/boston_house_prices.csv", false)
 	if err != nil {
 		panic(err)
 	}
 	trainRegData, testRegData := base.InstancesTrainTestSplit(regressionData, 0.5)
 
 	// Hyperparameters - Loss function, max Depth (-1 will split until pure)
-	regTree := NewDecisionTreeRegressor("mse", -1)
+	regTree := trees.NewDecisionTreeRegressor("mse", -1)
 
 	// Train Tree
 	err = regTree.Fit(trainRegData)
diff --git a/examples/trees/trees.go b/examples/trees/decision/decision.go
similarity index 97%
rename from examples/trees/trees.go
rename to examples/trees/decision/decision.go
index c73fc4f..9bdd44f 100644
--- a/examples/trees/trees.go
+++ b/examples/trees/decision/decision.go
@@ -4,12 +4,13 @@ package main
 
 import (
 	"fmt"
+	"math/rand"
+
 	"github.com/sjwhitworth/golearn/base"
 	"github.com/sjwhitworth/golearn/ensemble"
 	"github.com/sjwhitworth/golearn/evaluation"
 	"github.com/sjwhitworth/golearn/filters"
 	"github.com/sjwhitworth/golearn/trees"
-	"math/rand"
 )
 
 func main() {
@@ -19,7 +20,7 @@ func main() {
 	rand.Seed(44111342)
 
 	// Load in the iris dataset
-	iris, err := base.ParseCSVToInstances("../datasets/iris_headers.csv", true)
+	iris, err := base.ParseCSVToInstances("../../datasets/iris_headers.csv", true)
 	if err != nil {
 		panic(err)
 	}