Python* API Reference for Intel® Data Analytics Acceleration Library 2020 Update 1

Public Member Functions | List of all members
Model Class Reference

Model of the classifier trained by the multi_class_classifier.training.Batch algorithm. More...

Public Member Functions

def serializationTag
 
def getSerializationTag
 
def downCast
 
def __init__
 
def create
 
def getMultiClassClassifierModel
 
def getTwoClassClassifierModels
 
def setTwoClassClassifierModel
 
def getTwoClassClassifierModel
 
def getNumberOfTwoClassClassifierModels
 
def getNumberOfFeatures
 
- Public Member Functions inherited from Model
def getNFeatures
 
def getNumberOfFeatures
 
def setNFeatures
 
- Public Member Functions inherited from Model
def __init__
 
def getSerializationTag
 
- Public Member Functions inherited from SerializationIface
def serialize
 
def deserialize
 
def getSerializationTag
 
- Public Member Functions inherited from Base
def __init__
 

Detailed Description

Constructor & Destructor Documentation

def __init__ (   self,
  args 
)

Variant 1

Constructs multi-class classifier model

Parameters
nFeaturesNumber of features in the dataset
parParameters of the multi-class classifier algorithm
Deprecated:
This item will be removed in a future release. Use Model.create instead.

Variant 2

Constructs multi-class classifier model

Parameters
nFeaturesNumber of features in the dataset
parParameters of the multi-class classifier algorithm
Deprecated:
This item will be removed in a future release. Use Model.create instead.

Variant 3

Empty constructor for deserialization

Deprecated:
This item will be removed in a future release. Use Model.create instead.

Member Function Documentation

def create (   args)

Variant 1

Constructs multi-class classifier model

Parameters
nFeaturesNumber of features in the dataset
parParameters of the multi-class classifier algorithm
statStatus of the model construction
Returns
Multi-class classifier model

Variant 2

Constructs multi-class classifier model

Parameters
nFeaturesNumber of features in the dataset
parParameters of the multi-class classifier algorithm
statStatus of the model construction
Returns
Multi-class classifier model

Variant 3

Constructs multi-class classifier model

Parameters
nFeaturesNumber of features in the dataset
parParameters of the multi-class classifier algorithm
statStatus of the model construction
Returns
Multi-class classifier model
def downCast (   r)

downCast(daal.services.SharedPtr< daal.algorithms.classifier.Model > const & r) -> daal.services.SharedPtr< daal.algorithms.multi_class_classifier.Model >

def getMultiClassClassifierModel (   self)

Returns a collection of two-class classifier models in a multi-class classifier model

Returns
Collection of two-class classifier models
def getNumberOfFeatures (   self)

Retrieves the number of features in the dataset was used on the training stage

Returns
Number of features in the dataset was used on the training stage
def getNumberOfTwoClassClassifierModels (   self)

Returns a number of two-class classifiers associated with the model

Returns
Number of two-class classifiers associated with the model
def getSerializationTag (   self)

getSerializationTag(Model self) -> int

def getTwoClassClassifierModel (   self,
  idx 
)

Returns a two-class classifier model in a multi-class classifier model

Parameters
idxIndex of the two-class classifier model in a multi-class classifier model
Returns
Two-class classifier model
def getTwoClassClassifierModels (   self)

Returns a pointer to the array of two-class classifier models in a multi-class classifier model

Returns
Pointer to the array of two-class classifier models
Deprecated:
This item will be removed in a future release. Use Model.getTwoClassClassifierModel instead.
def serializationTag ( )
def setTwoClassClassifierModel (   self,
  idx,
  model 
)

Set two-class classifier model into a multi-class classifier model

Parameters
idxIndex of two-class classifier model in a collection
modelTwo-class classifier model to add into collection

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

For more complete information about compiler optimizations, see our Optimization Notice.