golearn/base/util_instances.go

package base

import (
	"fmt"
	"math/rand"
)

// This file contains utility functions relating to efficiently
// generating predictions and instantiating DataGrid implementations.

// GeneratePredictionVector selects the class Attributes from a given
// FixedDataGrid and returns something which can hold the predictions.
func GeneratePredictionVector(from FixedDataGrid) UpdatableDataGrid {
	classAttrs := from.AllClassAttributes()
	_, rowCount := from.Size()
	ret := NewDenseInstances()
	for _, a := range classAttrs {
		ret.AddAttribute(a)
		ret.AddClassAttribute(a)
	}
	ret.Extend(rowCount)
	return ret
}

// CopyDenseInstancesStructure returns a new DenseInstances
// with identical structure (layout, Attributes) to the original
func CopyDenseInstances(template *DenseInstances, templateAttrs []Attribute) *DenseInstances {
	instances := NewDenseInstances()
	templateAgs := template.AllAttributeGroups()
	for ag := range templateAgs {
		agTemplate := templateAgs[ag]
		if _, ok := agTemplate.(*BinaryAttributeGroup); ok {
			instances.CreateAttributeGroup(ag, 0)
		} else {
			instances.CreateAttributeGroup(ag, 8)
		}
	}

	for _, a := range templateAttrs {
		s, err := template.GetAttribute(a)
		if err != nil {
			panic(err)
		}
		if ag, ok := template.agRevMap[s.pond]; !ok {
			panic(ag)
		} else {
			_, err := instances.AddAttributeToAttributeGroup(a, ag)
			if err != nil {
				panic(err)
			}
		}
	}
	return instances
}

// GetClass is a shortcut for returning the string value of the current
// class on a given row.
//
// IMPORTANT: GetClass will panic if the number of ClassAttributes is
// set to anything other than one.
func GetClass(from DataGrid, row int) string {

	// Get the Attribute
	classAttrs := from.AllClassAttributes()
	if len(classAttrs) > 1 {
		panic("More than one class defined")
	} else if len(classAttrs) == 0 {
		panic("No class defined!")
	}
	classAttr := classAttrs[0]

	// Fetch and convert the class value
	classAttrSpec, err := from.GetAttribute(classAttr)
	if err != nil {
		panic(fmt.Errorf("Can't resolve class Attribute %s", err))
	}

	classVal := from.Get(classAttrSpec, row)
	if classVal == nil {
		panic("Class values shouldn't be missing")
	}

	return classAttr.GetStringFromSysVal(classVal)
}

// SetClass is a shortcut for updating the given class of a row.
//
// IMPORTANT: SetClass will panic if the number of class Attributes
// is anything other than one.
func SetClass(at UpdatableDataGrid, row int, class string) {

	// Get the Attribute
	classAttrs := at.AllClassAttributes()
	if len(classAttrs) > 1 {
		panic("More than one class defined")
	} else if len(classAttrs) == 0 {
		panic("No class Attributes are defined")
	}

	classAttr := classAttrs[0]

	// Fetch and convert the class value
	classAttrSpec, err := at.GetAttribute(classAttr)
	if err != nil {
		panic(fmt.Errorf("Can't resolve class Attribute %s", err))
	}

	classBytes := classAttr.GetSysValFromString(class)
	at.Set(classAttrSpec, row, classBytes)
}

// GetAttributeByName returns an Attribute matching a given name.
// Returns nil if one doesn't exist.
func GetAttributeByName(inst FixedDataGrid, name string) Attribute {
	for _, a := range inst.AllAttributes() {
		if a.GetName() == name {
			return a
		}
	}
	return nil
}

// GetClassDistributionByBinaryFloatValue returns the count of each row
// which has a float value close to 0.0 or 1.0.
func GetClassDistributionByBinaryFloatValue(inst FixedDataGrid) []int {

	// Get the class variable
	attrs := inst.AllClassAttributes()
	if len(attrs) != 1 {
		panic(fmt.Errorf("Wrong number of class variables (has %d, should be 1)", len(attrs)))
	}
	if _, ok := attrs[0].(*FloatAttribute); !ok {
		panic(fmt.Errorf("Class Attribute must be FloatAttribute (is %s)", attrs[0]))
	}

	// Get the number of class values
	ret := make([]int, 2)

	// Map through everything
	specs := ResolveAttributes(inst, attrs)
	inst.MapOverRows(specs, func(vals [][]byte, row int) (bool, error) {
		index := UnpackBytesToFloat(vals[0])
		if index > 0.5 {
			ret[1]++
		} else {
			ret[0]++
		}

		return false, nil
	})

	return ret
}

// GetClassDistributionByIntegerVal returns a vector containing
// the count of each class vector (indexed by the class' system
// integer representation)
func GetClassDistributionByCategoricalValue(inst FixedDataGrid) []int {

	var classAttr *CategoricalAttribute
	var ok bool
	// Get the class variable
	attrs := inst.AllClassAttributes()
	if len(attrs) != 1 {
		panic(fmt.Errorf("Wrong number of class variables (has %d, should be 1)", len(attrs)))
	}
	if classAttr, ok = attrs[0].(*CategoricalAttribute); !ok {
		panic(fmt.Errorf("Class Attribute must be a CategoricalAttribute (is %s)", attrs[0]))
	}

	// Get the number of class values
	classLen := len(classAttr.GetValues())
	ret := make([]int, classLen)

	// Map through everything
	specs := ResolveAttributes(inst, attrs)
	inst.MapOverRows(specs, func(vals [][]byte, row int) (bool, error) {
		index := UnpackBytesToU64(vals[0])
		ret[int(index)]++
		return false, nil
	})

	return ret
}

// GetClassDistribution returns a map containing the count of each
// class type (indexed by the class' string representation).
func GetClassDistribution(inst FixedDataGrid) map[string]int {
	ret := make(map[string]int)
	_, rows := inst.Size()
	for i := 0; i < rows; i++ {
		cls := GetClass(inst, i)
		ret[cls]++
	}
	return ret
}

// GetClassDistributionAfterThreshold returns the class distribution
// after a speculative split on a given Attribute using a threshold.
func GetClassDistributionAfterThreshold(inst FixedDataGrid, at Attribute, val float64) map[string]map[string]int {
	ret := make(map[string]map[string]int)

	// Find the attribute we're decomposing on
	attrSpec, err := inst.GetAttribute(at)
	if err != nil {
		panic(fmt.Sprintf("Invalid attribute %s (%s)", at, err))
	}

	// Validate
	if _, ok := at.(*FloatAttribute); !ok {
		panic(fmt.Sprintf("Must be numeric!"))
	}

	_, rows := inst.Size()

	for i := 0; i < rows; i++ {
		splitVal := UnpackBytesToFloat(inst.Get(attrSpec, i)) > val
		splitVar := "0"
		if splitVal {
			splitVar = "1"
		}
		classVar := GetClass(inst, i)
		if _, ok := ret[splitVar]; !ok {
			ret[splitVar] = make(map[string]int)
			i--
			continue
		}
		ret[splitVar][classVar]++
	}

	return ret
}

// GetClassDistributionAfterSplit returns the class distribution
// after a speculative split on a given Attribute.
func GetClassDistributionAfterSplit(inst FixedDataGrid, at Attribute) map[string]map[string]int {

	ret := make(map[string]map[string]int)

	// Find the attribute we're decomposing on
	attrSpec, err := inst.GetAttribute(at)
	if err != nil {
		panic(fmt.Sprintf("Invalid attribute %s (%s)", at, err))
	}

	_, rows := inst.Size()

	for i := 0; i < rows; i++ {
		splitVar := at.GetStringFromSysVal(inst.Get(attrSpec, i))
		classVar := GetClass(inst, i)
		if _, ok := ret[splitVar]; !ok {
			ret[splitVar] = make(map[string]int)
			i--
			continue
		}
		ret[splitVar][classVar]++
	}

	return ret
}

// DecomposeOnNumericAttributeThreshold divides the instance set depending on the
// value of a given numeric Attribute, constructs child instances, and returns
// them in a map keyed on whether that row had a higher value than the threshold
// or not.
//
// IMPORTANT: calls panic() if the AttributeSpec of at cannot be determined, or if
// the Attribute is not numeric.
func DecomposeOnNumericAttributeThreshold(inst FixedDataGrid, at Attribute, val float64) map[string]FixedDataGrid {
	// Verify
	if _, ok := at.(*FloatAttribute); !ok {
		panic("Invalid argument")
	}
	// Find the Attribute we're decomposing on
	attrSpec, err := inst.GetAttribute(at)
	if err != nil {
		panic(fmt.Sprintf("Invalid Attribute index %s", at))
	}
	// Construct the new Attribute set
	newAttrs := make([]Attribute, 0)
	for _, a := range inst.AllAttributes() {
		if a.Equals(at) {
			continue
		}
		newAttrs = append(newAttrs, a)
	}

	// Create the return map
	ret := make(map[string]FixedDataGrid)

	// Create the return row mapping
	rowMaps := make(map[string][]int)

	// Build full Attribute set
	fullAttrSpec := ResolveAttributes(inst, newAttrs)
	fullAttrSpec = append(fullAttrSpec, attrSpec)

	// Decompose
	inst.MapOverRows(fullAttrSpec, func(row [][]byte, rowNo int) (bool, error) {
		// Find the output instance set
		targetBytes := row[len(row)-1]
		targetVal := UnpackBytesToFloat(targetBytes)
		val := targetVal > val
		targetSet := "0"
		if val {
			targetSet = "1"
		}
		rowMap := rowMaps[targetSet]
		rowMaps[targetSet] = append(rowMap, rowNo)
		return true, nil
	})

	for a := range rowMaps {
		ret[a] = NewInstancesViewFromVisible(inst, rowMaps[a], newAttrs)
	}

	return ret
}

// DecomposeOnAttributeValues divides the instance set depending on the
// value of a given Attribute, constructs child instances, and returns
// them in a map keyed on the string value of that Attribute.
//
// IMPORTANT: calls panic() if the AttributeSpec of at cannot be determined.
func DecomposeOnAttributeValues(inst FixedDataGrid, at Attribute) map[string]FixedDataGrid {
	// Find the Attribute we're decomposing on
	attrSpec, err := inst.GetAttribute(at)
	if err != nil {
		panic(fmt.Sprintf("Invalid Attribute index %s", at))
	}
	// Construct the new Attribute set
	newAttrs := make([]Attribute, 0)
	for _, a := range inst.AllAttributes() {
		if a.Equals(at) {
			continue
		}
		newAttrs = append(newAttrs, a)
	}
	// Create the return map
	ret := make(map[string]FixedDataGrid)

	// Create the return row mapping
	rowMaps := make(map[string][]int)

	// Build full Attribute set
	fullAttrSpec := ResolveAttributes(inst, newAttrs)
	fullAttrSpec = append(fullAttrSpec, attrSpec)

	// Decompose
	inst.MapOverRows(fullAttrSpec, func(row [][]byte, rowNo int) (bool, error) {
		// Find the output instance set
		targetBytes := row[len(row)-1]
		targetAttr := fullAttrSpec[len(fullAttrSpec)-1].attr
		targetSet := targetAttr.GetStringFromSysVal(targetBytes)
		if _, ok := rowMaps[targetSet]; !ok {
			rowMaps[targetSet] = make([]int, 0)
		}
		rowMap := rowMaps[targetSet]
		rowMaps[targetSet] = append(rowMap, rowNo)
		return true, nil
	})

	for a := range rowMaps {
		ret[a] = NewInstancesViewFromVisible(inst, rowMaps[a], newAttrs)
	}

	return ret
}

// InstancesTrainTestSplit takes a given Instances (src) and a train-test fraction
// (prop) and returns an array of two new Instances, one containing approximately
// that fraction and the other containing what's left.
//
// IMPORTANT: this function is only meaningful when prop is between 0.0 and 1.0.
// Using any other values may result in odd behaviour.
func InstancesTrainTestSplit(src FixedDataGrid, prop float64) (FixedDataGrid, FixedDataGrid) {
	trainingRows := make([]int, 0)
	testingRows := make([]int, 0)
	src = Shuffle(src)

	// Create the return structure
	_, rows := src.Size()
	for i := 0; i < rows; i++ {
		trainOrTest := rand.Intn(101)
		if trainOrTest > int(100*prop) {
			trainingRows = append(trainingRows, i)
		} else {
			testingRows = append(testingRows, i)
		}
	}

	allAttrs := src.AllAttributes()

	return NewInstancesViewFromVisible(src, trainingRows, allAttrs), NewInstancesViewFromVisible(src, testingRows, allAttrs)

}

// LazyShuffle randomizes the row order without re-ordering the rows
// via an InstancesView.
func LazyShuffle(from FixedDataGrid) FixedDataGrid {
	_, rows := from.Size()
	rowMap := make(map[int]int)
	for i := 0; i < rows; i++ {
		j := rand.Intn(i + 1)
		rowMap[i] = j
		rowMap[j] = i
	}
	return NewInstancesViewFromRows(from, rowMap)
}

// Shuffle randomizes the row order either in place (if DenseInstances)
// or using LazyShuffle.
func Shuffle(from FixedDataGrid) FixedDataGrid {
	_, rows := from.Size()
	if inst, ok := from.(*DenseInstances); ok {
		for i := 0; i < rows; i++ {
			j := rand.Intn(i + 1)
			inst.swapRows(i, j)
		}
		return inst
	} else {
		return LazyShuffle(from)
	}
}

// SampleWithReplacement returns a new FixedDataGrid containing
// an equal number of random rows drawn from the original FixedDataGrid
//
// IMPORTANT: There's a high chance of seeing duplicate rows
// whenever size is close to the row count.
func SampleWithReplacement(from FixedDataGrid, size int) FixedDataGrid {
	rowMap := make(map[int]int)
	_, rows := from.Size()
	for i := 0; i < size; i++ {
		srcRow := rand.Intn(rows)
		rowMap[i] = srcRow
	}
	return NewInstancesViewFromRows(from, rowMap)
}

// CheckCompatible checks whether two DataGrids have the same Attributes
// and if they do, it returns them.
func CheckCompatible(s1 FixedDataGrid, s2 FixedDataGrid) []Attribute {
	s1Attrs := s1.AllAttributes()
	s2Attrs := s2.AllAttributes()
	interAttrs := AttributeIntersect(s1Attrs, s2Attrs)
	if len(interAttrs) != len(s1Attrs) {
		return nil
	} else if len(interAttrs) != len(s2Attrs) {
		return nil
	}
	return interAttrs
}

// CheckStrictlyCompatible checks whether two DenseInstances have
// AttributeGroups with the same Attributes, in the same order,
// enabling optimisations.
func CheckStrictlyCompatible(s1 FixedDataGrid, s2 FixedDataGrid) bool {
	// Cast
	d1, ok1 := s1.(*DenseInstances)
	d2, ok2 := s2.(*DenseInstances)
	if !ok1 || !ok2 {
		return false
	}

	// Retrieve AttributeGroups
	d1ags := d1.AllAttributeGroups()
	d2ags := d2.AllAttributeGroups()

	// Check everything in d1 is in d2
	for a := range d1ags {
		_, ok := d2ags[a]
		if !ok {
			return false
		}
	}

	// Check everything in d2 is in d1
	for a := range d2ags {
		_, ok := d1ags[a]
		if !ok {
			return false
		}
	}

	// Check that everything has the same number
	// of equivalent Attributes, in the same order
	for a := range d1ags {
		ag1 := d1ags[a]
		ag2 := d2ags[a]
		a1 := ag1.Attributes()
		a2 := ag2.Attributes()
		for i := range a1 {
			at1 := a1[i]
			at2 := a2[i]
			if !at1.Equals(at2) {
				return false
			}
		}
	}

	return true
}

// InstancesAreEqual checks whether a given Instance set is exactly
// the same as another (i.e. has the same size and values).
func InstancesAreEqual(inst, other FixedDataGrid) bool {
	_, rows := inst.Size()

	for _, a := range inst.AllAttributes() {
		as1, err := inst.GetAttribute(a)
		if err != nil {
			panic(err) // That indicates some kind of error
		}
		as2, err := inst.GetAttribute(a)
		if err != nil {
			return false // Obviously has different Attributes
		}

		if !as1.GetAttribute().Equals(as2.GetAttribute()) {
			return false
		}

		for i := 0; i < rows; i++ {
			b1 := inst.Get(as1, i)
			b2 := inst.Get(as2, i)
			if !byteSeqEqual(b1, b2) {
				return false
			}
		}
	}

	return true
}