Class HypothesisET

Decision/exploration tree as a result of a ETree-Miner data-mining task
inherits from Hypothesis
namespace: lm.tasks.results

Constructor

No constructor available. Objects of this class could not be instantiated from Lua scripts.

Properties List

FrequencyClass	number of objects with the most frequent class in each leaf
FrequencyTotal	Number of objects this hypothesis covers
ID	Unique identifier (primary key) of the object
Order	Order-index of this hypothesis
Quality	Quality of the tree as a ratio of FrequencyClass to FrequencyTotal
Task	the Task, this hypothesis belongs to
Text	Textual representation of this hypothesis
TextHTML	HTML representation of this hypothesis
Weight	Property used for storing eg. primary interest measure value for LM ReverseMiner

Methods List

createDerivedDataColumn ()	Creates a new derived DataColumn with values representing class indexes based on this hypothesis decision tree results (i.e. the value for each row will be the zero-based index of the class category this row was classified into)
getFrequencyClass ()	Returns the value of FrequencyClass property
getFrequencyTotal ()	Returns the value of FrequencyTotal property
getID ()	Returns unique identifier (primary key) of the object
getOrder ()	Returns the value of Order property
getQuality ()	Returns the value of Quality property
getTask ()	Returns the Task this hypothesis belongs to, the value of Task property
getWeight ()	Returns the value of Weight property
checkMutualInfluence ()	Returns a type of relationship between hypothesis and given mutual influence, see HypothesisMutualInfluenceRelationship codes
prepareFTPartialCedentArray ()	Returns array of FTPartialCedents, partial cedents of a given type in this hypothesis
setOrder ()	Sets the value of Order property
setWeight ()	Sets the value of Weight property

Properties

FrequencyClass  (read-only) : float

number of objects with the most frequent class in each leaf

FrequencyTotal  (read-only) : float

Number of objects this hypothesis covers

ID  (read-only) : integer

Unique identifier (primary key) of the object
Intherited from: LMWrap

Order : integer

Order-index of this hypothesis
Intherited from: Hypothesis

Quality  (read-only) : float

Quality of the tree as a ratio of FrequencyClass to FrequencyTotal

Task  (read-only) : Task

the Task, this hypothesis belongs to
Intherited from: Hypothesis

Text  (read-only) : string

Textual representation of this hypothesis
Intherited from: Hypothesis

TextHTML  (read-only) : string

HTML representation of this hypothesis
Intherited from: Hypothesis

Weight : float

Property used for storing eg. primary interest measure value for LM ReverseMiner
Intherited from: Hypothesis

Methods

createDerivedDataColumn()

Creates a new derived DataColumn with values representing class indexes based on this hypothesis decision tree results (i.e. the value for each row will be the zero-based index of the class category this row was classified into)

Parameters

• luaTable - to store named parameters

Optional named parameters

• name : string - name of the newly created derived DataColumn

getFrequencyClass() : integer

Returns the value of FrequencyClass property

Returns

• integer

getFrequencyTotal() : integer

Returns the value of FrequencyTotal property

Returns

• integer

getID() : integer

Returns unique identifier (primary key) of the object
Intherited from: LMWrap

Returns

• integer

getOrder() : integer

Returns the value of Order property
Intherited from: Hypothesis

Returns

• integer

getQuality() : float

Returns the value of Quality property

Returns

• float

getTask() : Task

Returns the Task this hypothesis belongs to, the value of Task property
Intherited from: Hypothesis

Returns

• Task

getWeight() : float

Returns the value of Weight property
Intherited from: Hypothesis

Returns

• float

checkMutualInfluence() : integer

Returns a type of relationship between hypothesis and given mutual influence, see HypothesisMutualInfluenceRelationship codes
Intherited from: Hypothesis

Parameters

• luaTable - to store named parameters

Obligatory named parameters

• pMutualInfluence : MutualInfluence - the Mutual influence to which compare this hypothesis

Returns

• integer - relationship code, see HypothesisMutualInfluenceRelationship codes

prepareFTPartialCedentArray() : luaTable

Returns array of FTPartialCedents, partial cedents of a given type in this hypothesis
Intherited from: Hypothesis

Parameters

• luaTable - to store named parameters

Obligatory named parameters

• nCedentTypeCode : integer - CedentType code to identify the whole cedent partial cedent array to prepare
• nActionStateCode : integer - ActionState code to differentiate between stable and variable parst of antecedent and succedent in Ac4ft-Miner tasks

Returns

• luaTable

setOrder( integer )

Sets the value of Order property
Intherited from: Hypothesis

Parameters

• integer

setWeight( float )

Sets the value of Weight property
Intherited from: Hypothesis

Parameters

• float