func (jr *Jazzrobot) Load(filename string) error {
patterns, _ := loadPatternSlice(filename)
//chrom := []string{"C", "Db", "D", "Eb", "E", "F", "Gb", "G", "Ab", "A", "Bb", "B"}
//chords := make(map[string][]float64)
k := len(patterns) * 12
for _, pattern := range patterns {
for noteValue := 0; noteValue < 12; noteValue++ {
weights := make([]float64, 12)
for noteIndex, patternEntry := range pattern.Notes {
w := pattern.Weights[noteIndex]
newNoteValue := (noteValue + patternEntry) % 12
weights[newNoteValue] = pattern.Weights[noteIndex] * w
}
id := fmt.Sprintf("%d", len(jr.chordMap))
root := noteValue
noteWeights := weights
patternId := pattern.Name
patternNotes := pattern.Notes
jr.chordMap[id] = noteset.New(id, root, noteWeights, patternId, patternNotes)
jr.mainModel.AddCentroid(data.New(weights, k, id))
//chordName := fmt.Sprintf("%s %s", noteName, pattern.Name)
//chords[chordName] = chord
}
}
/*
csvfile, err := os.Open(filename)
if err != nil {
return err
}
defer csvfile.Close()
reader := csv.NewReader(csvfile)
rawCSVdata, err := reader.ReadAll()
if err != nil {
return err
}
k := len(rawCSVdata)
for _, v := range rawCSVdata {
attributes := make([]float64, 0)
var tag string
for i := range v {
if i == 0 {
tag = v[i]
continue
}
attr, _ := strconv.ParseFloat(v[i], 64)
attributes = append(attributes, attr)
}
jr.mainModel.AddCentroid(data.New(attributes, k, tag))
}*/
jr.mainModel.UpdateCentroids()
log.Printf("Loaded [%d, %d] number of chords\n", len(jr.chordMap), len(jr.mainModel.Centroids))
return nil
}
func (model *Model) Classify(attributes []float64) (*data.Data, error) {
dataItem := data.New(attributes, len(model.Centroids), "")
dataItem.UpdateClassification(model.Centroids)
return dataItem, nil
}
