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| template<class Range > |
| Data< typename Range::value_type > | shark::createDataFromRange (Range const &inputs, std::size_t maximumBatchSize=0) |
| | creates a data object from a range of elements More...
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| template<class Range > |
| UnlabeledData< typename boost::range_value< Range >::type > | shark::createUnlabeledDataFromRange (Range const &inputs, std::size_t maximumBatchSize=0) |
| | creates a data object from a range of elements More...
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| template<class Range1 , class Range2 > |
| LabeledData< typename boost::range_value< Range1 >::type, typename boost::range_value< Range2 >::type > | shark::createLabeledDataFromRange (Range1 const &inputs, Range2 const &labels, std::size_t maximumBatchSize=0) |
| | creates a labeled data object from two ranges, representing inputs and labels More...
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| template<class T , class U > |
| std::ostream & | shark::operator<< (std::ostream &stream, const LabeledData< T, U > &d) |
| | brief Outstream of elements for labeled data. More...
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| unsigned int | shark::numberOfClasses (Data< unsigned int > const &labels) |
| | Return the number of classes of a set of class labels with unsigned int label encoding. More...
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| std::vector< std::size_t > | shark::classSizes (Data< unsigned int > const &labels) |
| | Returns the number of members of each class in the dataset. More...
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| template<class InputType > |
| std::size_t | shark::dataDimension (Data< InputType > const &dataset) |
| | Return the dimensionality of a dataset. More...
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| template<class InputType , class LabelType > |
| std::size_t | shark::inputDimension (LabeledData< InputType, LabelType > const &dataset) |
| | Return the input dimensionality of a labeled dataset. More...
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| template<class InputType , class LabelType > |
| std::size_t | shark::labelDimension (LabeledData< InputType, LabelType > const &dataset) |
| | Return the label/output dimensionality of a labeled dataset. More...
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| template<class InputType > |
| std::size_t | shark::numberOfClasses (LabeledData< InputType, unsigned int > const &dataset) |
| | Return the number of classes (highest label value +1) of a classification dataset with unsigned int label encoding. More...
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| template<class InputType , class LabelType > |
| std::vector< std::size_t > | shark::classSizes (LabeledData< InputType, LabelType > const &dataset) |
| | Returns the number of members of each class in the dataset. More...
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| template<class T , class Functor > |
| boost::lazy_disable_if< CanBeCalled< Functor, typename Data< T >::batch_type >, TransformedData< Functor, T >>::type | shark::transform (Data< T > const &data, Functor f) |
| | Transforms a dataset using a Functor f and returns the transformed result. More...
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| template<class T , class Functor > |
| boost::lazy_enable_if< CanBeCalled< Functor, typename Data< T >::batch_type >, TransformedData< Functor, T >>::type | shark::transform (Data< T > const &data, Functor const &f) |
| | Transforms a dataset using a Functor f and returns the transformed result. More...
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| template<class I , class L , class Functor > |
| LabeledData< typename detail::TransformedDataElement< Functor, I >::type, L > | shark::transformInputs (LabeledData< I, L > const &data, Functor const &f) |
| | Transforms the inputs of a dataset and return the transformed result. More...
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| template<class I , class L , class Functor > |
| LabeledData< I, typename detail::TransformedDataElement< Functor, L >::type > | shark::transformLabels (LabeledData< I, L > const &data, Functor const &f) |
| | Transforms the labels of a dataset and returns the transformed result. More...
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| template<class T , class FeatureSet > |
| Data< blas::vector< T > > | shark::selectFeatures (Data< blas::vector< T > > const &data, FeatureSet const &features) |
| | Creates a copy of a dataset selecting only a certain set of features. More...
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| template<class T , class FeatureSet > |
| LabeledData< RealVector, T > | shark::selectInputFeatures (LabeledData< RealVector, T > const &data, FeatureSet const &features) |
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| template<class DatasetT > |
| DatasetT | shark::splitAtElement (DatasetT &data, std::size_t elementIndex) |
| | Removes the last part of a given dataset and returns a new split containing the removed elements. More...
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| template<class I > |
| void | shark::repartitionByClass (LabeledData< I, unsigned int > &data, std::size_t batchSize=LabeledData< I, unsigned int >::DefaultBatchSize) |
| | reorders the dataset such, that points are grouped by labels More...
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| template<class I > |
| LabeledData< I, unsigned int > | shark::binarySubProblem (LabeledData< I, unsigned int >const &data, unsigned int zeroClass, unsigned int oneClass) |
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| template<class I > |
| LabeledData< I, unsigned int > | shark::oneVersusRestProblem (LabeledData< I, unsigned int >const &data, unsigned int oneClass) |
| | Construct a binary (two-class) one-versus-rest problem from a multi-class problem. More...
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| template<typename RowType > |
| RowType | shark::getColumn (Data< RowType > const &data, std::size_t columnID) |
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| template<typename RowType > |
| void | shark::setColumn (Data< RowType > &data, std::size_t columnID, RowType newColumn) |
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| template<class T > |
| std::ostream & | shark::operator<< (std::ostream &stream, const Data< T > &d) |
| | Outstream of elements. More...
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