Class and Description |
---|
LabeledVector
This class represents a vector with an associated label as it is required for many supervised
learning tasks.
|
Class and Description |
---|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
Block
Base class for blocks of elements.
|
Block$ |
FlinkMLTools.ModuloKeyPartitioner$
Distributes the elements by taking the modulo of their keys and assigning it to this channel
|
FlinkMLTools$
FlinkMLTools contains a set of convenience functions for Flink's machine learning library:
|
LabeledVector$ |
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
ParameterMap$ |
WeightVector$ |
Class and Description |
---|
Block
Base class for blocks of elements.
|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
LabeledVector
This class represents a vector with an associated label as it is required for many supervised
learning tasks.
|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WeightVector
This class represents a weight vector with an intercept, as it is required for many supervised
learning tasks
param: weights The vector of weights
param: intercept The intercept (bias) weight
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
LabeledVector
This class represents a vector with an associated label as it is required for many supervised
learning tasks.
|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
Class and Description |
---|
LabeledVector
This class represents a vector with an associated label as it is required for many supervised
learning tasks.
|
Parameter
Base trait for parameter keys
|
ParameterMap
Map used to store configuration parameters for algorithms.
|
WeightVector
This class represents a weight vector with an intercept, as it is required for many supervised
learning tasks
param: weights The vector of weights
param: intercept The intercept (bias) weight
|
WithParameters
Adds a
ParameterMap which can be used to store configuration values |
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