min

Documentation

Index

• type Min
  • func NewCount(inputColumns, optionalInputColumns []io.DataShape) (mn *Min)
  • func (mn *Min) Accum(cols io.ColumnInterface) error
  • func (mn *Min) GetInitArgs() []io.DataShape
  • func (mn *Min) GetOptionalArgs() []io.DataShape
  • func (mn *Min) GetRequiredArgs() []io.DataShape
  • func (mn *Min) Init(itf ...interface{}) error
  • func (m Min) New() (out uda.AggInterface, am *functions.ArgumentMap)
  • func (mn *Min) Output() *io.ColumnSeries
  • func (mn *Min) Reset()

Types

type Min

type Min struct {
	uda.AggInterface

	// Input arguments mapping
	ArgMap *functions.ArgumentMap

	IsInitialized bool
	Min           float32
}

func NewCount

func NewCount(inputColumns, optionalInputColumns []io.DataShape) (mn *Min)

CONCRETE - these may be suitable methods for general usage

func (*Min) Accum

func (mn *Min) Accum(cols io.ColumnInterface) error

Accum() sends new data to the aggregate

func (*Min) GetInitArgs

func (mn *Min) GetInitArgs() []io.DataShape

func (*Min) GetOptionalArgs

func (mn *Min) GetOptionalArgs() []io.DataShape

func (*Min) GetRequiredArgs

func (mn *Min) GetRequiredArgs() []io.DataShape

func (*Min) Init

func (mn *Min) Init(itf ...interface{}) error

func (Min) New

func (m Min) New() (out uda.AggInterface, am *functions.ArgumentMap)

Creates a new count using the arguments of the specific implementation for inputColumns and optionalInputColumns

func (*Min) Output

func (mn *Min) Output() *io.ColumnSeries

Output() returns the currently valid output of this aggregate

func (*Min) Reset

func (mn *Min) Reset()

Reset() puts the aggregate state back to "new"