Class Extractor

Inheritance Relationships

Base Type

Derived Type

Class Documentation

class sparsebase::feature::Extractor : public sparsebase::utils::ClassMatcherMixin<utils::Extractable*>

Extractor provides an interface for users to generate multiple features optimally with a single call.

Detailed

Subclassed by sparsebase::feature::FeatureExtractor< IDType, NNZType, ValueType, FeatureType >

Public Functions

~Extractor()
std::unordered_map<std::type_index, std::any> Extract(format::Format *format, const std::vector<context::Context*> &con, bool convert_input)

Computes the features that are added to in_ private data member.

Detailed Description.

Parameters

  • format – a format to be used as the data source.

  • con – vector of contexts to be used to determine the where the computation will take place.

Returns

void

void Add(Feature f)

Adds a feature to private in_ data member.

Detailed Description.

Parameters

f – a Feature argument.

Returns

void

void Subtract(Feature f)

Subtracts a feature from private in_ data member.

Detailed Description.

Parameters

f – a Feature argument.

Returns

void

std::vector<std::type_index> GetList()

Returns the in_ private data member as a vector.

Detailed Description.

Returns

vector of type std::type_index

void PrintFuncList()

Prints all the registered functions to the ClassMatcher map.

Detailed Description.

Returns

void

std::vector<utils::Extractable*> GetFuncList()

Public Static Functions

static std::unordered_map<std::type_index, std::any> Extract(std::vector<Feature> &features, format::Format *format, const std::vector<context::Context*>&, bool convert_input)

Computes the features that are passed.

Detailed Description.

Parameters

  • features – vector of features to extract.

  • format – a format to be used as the data source.

  • con – vector of contexts to be used to determine the where the computation will take place.

Returns

void

Protected Functions

Extractor() noexcept = default