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Create dataframe_go.go

Added Function to Convert from DataFrame to Golearn Fixed DataGrid
This commit is contained in:
Ayush 2020-10-27 13:50:42 +05:30
parent 6fed29ee9c
commit 76577c449b

74
base/dataframe_go.go Normal file
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package base
import (
"fmt"
"reflect"
"strconv"
dataframe "github.com/rocketlaunchr/dataframe-go"
"github.com/sjwhitworth/golearn/base"
)
// ConvertDataFrameToInstances converts a DataFrame-go dataframe object to Golearn Fixed Data Grid. Allows for compabitibility between dataframe and golearn's ML models.
// df is the dataframe Object. classAttrIndex is the index of the class Attribute in the data.
func ConvertDataFrameToInstances(df *dataframe.DataFrame, classAttrIndex int) base.FixedDataGrid {
// Creating Attributes based on Datafraem
names := df.Names()
attrs := make([]base.Attribute, len(names))
newInst := base.NewDenseInstances()
for i := range names {
col := df.Series[i]
if reflect.TypeOf(col.Value(0)).Kind() == reflect.String {
attrs[i] = new(base.CategoricalAttribute)
attrs[i].SetName(names[i])
} else {
attrs[i] = base.NewFloatAttribute(names[i])
}
}
// Add the attributes
newSpecs := make([]base.AttributeSpec, len(attrs))
for i, a := range attrs {
newSpecs[i] = newInst.AddAttribute(a)
}
// Adding the class attribute
newInst.AddClassAttribute(attrs[classAttrIndex])
// Allocate space
nRows := df.NRows()
newInst.Extend(df.NRows())
// Write the data based on DataType
for i := 0; i < nRows; i++ {
for j := range names {
col := df.Series[j]
var val string
str, ok := col.Value(i).(string)
val = str
if ok != true {
int_64, ok := col.Value(i).(int64)
val = strconv.FormatInt(int_64, 10)
if ok != true {
float_64, ok := col.Value(i).(float64)
val = fmt.Sprintf("%f", float_64)
if ok != true {
float_32, ok := col.Value(i).(float32)
if ok == true {
val = fmt.Sprintf("%f", float_32)
}
}
}
}
newInst.Set(newSpecs[j], i, newSpecs[j].GetAttribute().GetSysValFromString(val))
}
}
return newInst
}