error strings should not be capitalized

cross_validation/cross_validation.go

@@ -15,10 +15,10 @@ func shuffleMatrix(returnDatasets []*mat.Dense, dataset mat.Matrix, testSize int
 	shuffledSet := mat.DenseCopyOf(dataset)
 	rowCount, colCount := shuffledSet.Dims()
 	temp := make([]float64, colCount)
-	
+
 	// Fisher–Yates shuffle
 	for i := 0; i < rowCount; i++ {
-		j := numGen.Intn(i+1)
+		j := numGen.Intn(i + 1)
 		if j != i {
 			// Make a "hard" copy to avoid pointer craziness.
 			copy(temp, shuffledSet.RowView(i))
@@ -43,29 +43,29 @@ func TrainTestSplit(size interface{}, randomState interface{}, datasets ...*mat.
 	// Input should be one or two matrices.
 	dataCount := len(datasets)
 	if dataCount > 2 {
-		return nil, fmt.Errorf("Expected 1 or 2 datasets, got %d\n", dataCount)
+		return nil, fmt.Errorf("expected 1 or 2 datasets, got %d\n", dataCount)
 	}
 
 	if dataCount == 2 {
 		// Test for consistency.
 		labelCount, labelFeatures := datasets[1].Dims()
 		if labelCount != instanceCount {
-			return nil, fmt.Errorf("Data and labels must have the same number of instances")
+			return nil, fmt.Errorf("data and labels must have the same number of instances")
 		} else if labelFeatures != 1 {
-			return nil, fmt.Errorf("Label matrix must have single feature")
+			return nil, fmt.Errorf("label matrix must have single feature")
 		}
 	}
 
 	var testSize int
 	switch size := size.(type) {
-		// If size is an integer, treat it as the test data instance count.
+	// If size is an integer, treat it as the test data instance count.
 	case int:
 		testSize = size
 	case float64:
 		// If size is a float, treat it as a percentage of the instances to be allocated to the test set.
 		testSize = int(float64(instanceCount)*size + 0.5)
 	default:
-		return nil, fmt.Errorf("Expected a test instance count (int) or percentage (float64)")
+		return nil, fmt.Errorf("expected a test instance count (int) or percentage (float64)")
 	}
 
 	var randSeed int64