Synapse.ML.Stages.EnsembleByKey Class Reference

EnsembleByKey implements EnsembleByKey More...

Inheritance diagram for Synapse.ML.Stages.EnsembleByKey:

Collaboration diagram for Synapse.ML.Stages.EnsembleByKey:

Public Member Functions
	EnsembleByKey ()
	Creates a EnsembleByKey without any parameters. More...
	EnsembleByKey (string uid)
	Creates a EnsembleByKey with a UID that is used to give the EnsembleByKey a unique ID. More...
EnsembleByKey	SetColNames (string[] value)
	Sets value for colNames More...
EnsembleByKey	SetCollapseGroup (bool value)
	Sets value for collapseGroup More...
EnsembleByKey	SetCols (string[] value)
	Sets value for cols More...
EnsembleByKey	SetKeys (string[] value)
	Sets value for keys More...
EnsembleByKey	SetStrategy (string value)
	Sets value for strategy More...
EnsembleByKey	SetVectorDims (Dictionary< string, int > value)
	Sets value for vectorDims More...
string []	GetColNames ()
	Gets colNames value More...
bool	GetCollapseGroup ()
	Gets collapseGroup value More...
string []	GetCols ()
	Gets cols value More...
string []	GetKeys ()
	Gets keys value More...
string	GetStrategy ()
	Gets strategy value More...
Dictionary< string, int >	GetVectorDims ()
	Gets vectorDims value More...
void	Save (string path)
	Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala. More...
JavaMLWriter	Write ()
	Returns a JavaMLWriter instance for this ML instance.
JavaMLReader< EnsembleByKey >	Read ()
	Get the corresponding JavaMLReader instance. More...

Static Public Member Functions
static EnsembleByKey	Load (string path)
	Loads the EnsembleByKey that was previously saved using Save(string). More...

Detailed Description

EnsembleByKey implements EnsembleByKey

Constructor & Destructor Documentation

EnsembleByKey() [1/2]

Synapse.ML.Stages.EnsembleByKey.EnsembleByKey ( )

inline

Creates a EnsembleByKey without any parameters.

EnsembleByKey() [2/2]

Synapse.ML.Stages.EnsembleByKey.EnsembleByKey ( string  uid )

inline

Creates a EnsembleByKey with a UID that is used to give the EnsembleByKey a unique ID.

Parameters

uid	An immutable unique ID for the object and its derivatives.

Member Function Documentation

GetCollapseGroup()

bool Synapse.ML.Stages.EnsembleByKey.GetCollapseGroup

(

)

Gets collapseGroup value

Returns

collapseGroup: Whether to collapse all items in group to one entry

GetColNames()

string [] Synapse.ML.Stages.EnsembleByKey.GetColNames

(

)

Gets colNames value

Returns

colNames: Names of the result of each col

GetCols()

string [] Synapse.ML.Stages.EnsembleByKey.GetCols

(

)

Gets cols value

Returns

cols: Cols to ensemble

GetKeys()

string [] Synapse.ML.Stages.EnsembleByKey.GetKeys

(

)

Gets keys value

Returns

keys: Keys to group by

GetStrategy()

string Synapse.ML.Stages.EnsembleByKey.GetStrategy

(

)

Gets strategy value

Returns

strategy: How to ensemble the scores, ex: mean

GetVectorDims()

Dictionary<string, int> Synapse.ML.Stages.EnsembleByKey.GetVectorDims ( )

inline

Gets vectorDims value

Returns

vectorDims: the dimensions of any vector columns, used to avoid materialization

Load()

static EnsembleByKey Synapse.ML.Stages.EnsembleByKey.Load ( string  path )

static

Loads the EnsembleByKey that was previously saved using Save(string).

Parameters

path	The path the previous EnsembleByKey was saved to

Returns

New EnsembleByKey object, loaded from path.

Read()

JavaMLReader<EnsembleByKey> Synapse.ML.Stages.EnsembleByKey.Read

(

)

Get the corresponding JavaMLReader instance.

Returns

an JavaMLReader<EnsembleByKey> instance for this ML instance.

Save()

void Synapse.ML.Stages.EnsembleByKey.Save

(

string

path

)

Saves the object so that it can be loaded later using Load. Note that these objects can be shared with Scala by Loading or Saving in Scala.

Parameters

path	The path to save the object to

SetCollapseGroup()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetCollapseGroup

(

bool

value

)

Sets value for collapseGroup

Parameters

value

Whether to collapse all items in group to one entry

Returns

New EnsembleByKey object

SetColNames()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetColNames

(

string []

value

)

Sets value for colNames

Parameters

value

Names of the result of each col

Returns

New EnsembleByKey object

SetCols()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetCols

(

string []

value

)

Sets value for cols

Parameters

value

Cols to ensemble

Returns

New EnsembleByKey object

SetKeys()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetKeys

(

string []

value

)

Sets value for keys

Parameters

value

Keys to group by

Returns

New EnsembleByKey object

SetStrategy()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetStrategy

(

string

value

)

Sets value for strategy

Parameters

value

How to ensemble the scores, ex: mean

Returns

New EnsembleByKey object

SetVectorDims()

EnsembleByKey Synapse.ML.Stages.EnsembleByKey.SetVectorDims

(

Dictionary< string, int >

value

)

Sets value for vectorDims

Parameters

value

the dimensions of any vector columns, used to avoid materialization

Returns

New EnsembleByKey object

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The documentation for this class was generated from the following file:

• synapse/ml/stages/EnsembleByKey.cs