Documentation
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Index ¶
- type DataTrainer
- func (d *DataTrainer) Extract(trafficStats *[]domain.TrafficStatistic) []domain.TsTrainingData
- func (d *DataTrainer) LoadFromJSON(absPath string) ([]domain.TsTrainingData, error)
- func (d *DataTrainer) ReadFromCSV() ([]domain.TsTrainingData, error)
- func (d *DataTrainer) SaveAsCSV(data []domain.TsTrainingData, absPath string) error
- func (d *DataTrainer) SaveAsJSON(data *[]domain.TsTrainingData, absPath string) error
Constants ¶
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Variables ¶
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Functions ¶
This section is empty.
Types ¶
type DataTrainer ¶
type DataTrainer struct {
// contains filtered or unexported fields
}
func NewDataTrainer ¶
func (*DataTrainer) Extract ¶
func (d *DataTrainer) Extract(trafficStats *[]domain.TrafficStatistic) []domain.TsTrainingData
Extract extracts training data from PacketFlow struct
func (*DataTrainer) LoadFromJSON ¶
func (d *DataTrainer) LoadFromJSON(absPath string) ([]domain.TsTrainingData, error)
LoadFromJSON returns trained data from a specified file. If read fails, then returns an empty array with error
func (*DataTrainer) ReadFromCSV ¶
func (d *DataTrainer) ReadFromCSV() ([]domain.TsTrainingData, error)
ReadFromCSV reads from given path, and returns Training data It takes absPath and info if contains header Returns array of training data. If something go bad, then returns an empty array with error Not suitable for reading model that contain IP fields, only for trained model ready for production !
func (*DataTrainer) SaveAsCSV ¶
func (d *DataTrainer) SaveAsCSV(data []domain.TsTrainingData, absPath string) error
SaveAsCSV takes a data and absolute path to a file Returns err while something go bad. If csv contains IP addr, then should not be used for training model, only for user pourpose
func (*DataTrainer) SaveAsJSON ¶
func (d *DataTrainer) SaveAsJSON(data *[]domain.TsTrainingData, absPath string) error
SaveAsJSON saves training data into a txt file
Source Files