Mathematical formulation

Programming Interface

template<typename

Float

= float, typename

Method

= method::by_default, typename

Task

= task::by_default>

class

descriptor

Template Parameters

Float
– The floating-point type that the algorithm uses for intermediate computations. Can be
float
or
double
.
Method
– Tag-type that specifies the implementation of the algorithm. Can be
method::dense
.
Task
– Tag-type that specifies the type of the problem to solve. Can be
task::compute
.

Constructors

descriptor

() = default

Creates a new instance of the class with the default property values.

Properties

double

shift

The coefficient of the sigmoid kernel.

Default value

: 0.0.

Getter & Setter

double get_shift() const
auto & set_shift(double value)

double

scale

The coefficient of the sigmoid kernel.

Default value

: 1.0.

Getter & Setter

double get_scale() const
auto & set_scale(double value)

struct

dense

using

by_default

= dense

Alias tag-type for the dense method.

struct

compute

Tag-type that parameterizes entities that are used to compute statistics, distance, and so on.

using

by_default

= compute

Alias tag-type for the compute task.

template<typename

Task

= task::by_default>

class

compute_input

Template Parameters

Task

– Tag-type that specifies the type of the problem to solve. Can be

task::compute

.

Constructors

compute_input

(

const

table &

x

,

const

table &

y

)

Creates a new instance of the class with the given

x

and

y

.

Properties

const

table &

y

An table with the data y, where each row stores one feature vector.

Default value

: table{}.

Getter & Setter

const table & get_y() const
auto & set_y(const table &data)

const

table &

x

An table with the data x, where each row stores one feature vector.

Default value

: table{}.

Getter & Setter

const table & get_x() const
auto & set_x(const table &data)

template<typename

Task

= task::by_default>

class

compute_result

Template Parameters

Task

– Tag-type that specifies the type of the problem to solve. Can be

task::compute

.

Constructors

compute_result

()

Creates a new instance of the class with the default property values.

Properties

const

table &

values

An table with the result kernel functions.

Default value

: table{}.

Getter & Setter

const table & get_values() const
auto & set_values(const table &value)

template<typename

Descriptor

> sigmoid_kernel::compute_result

compute

(

const

Descriptor &

desc

,

const

sigmoid_kernel::compute_input &

input

)

Parameters

desc
– Sigmoid Kernel algorithm descriptor
sigmoid_kernel::descriptor
input
– Input data for the computing operation

Preconditions

input.x.is_empty == false
input.y.is_empty == false
input.x.column_count == input.y.column_count

Postconditions

result.values.has_data == true
result.values.row_count == input.x.row_count
result.values.column_count == input.y.row_count