[mlpack] 178/207: remove useless file

[Barak A. Pearlmutter]

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bap pushed a commit to branch master
in repository mlpack.

commit d512789c07067591f1702bf683fe9d82ac11ede6
Author: stereomatchingkiss <thamngapwei at gmail.com>
Date:   Sun Feb 26 07:18:27 2017 +0800

    remove useless file
---
 src/mlpack/core/data/dataset_info.hpp | 124 ----------------------------------
 1 file changed, 124 deletions(-)

diff --git a/src/mlpack/core/data/dataset_info.hpp b/src/mlpack/core/data/dataset_info.hpp
deleted file mode 100644
index 29663f1..0000000
--- a/src/mlpack/core/data/dataset_info.hpp
+++ /dev/null
@@ -1,124 +0,0 @@
-/**
- * @file dataset_info.hpp
- * @author Ryan Curtin
- *
- * Defines the DatasetInfo class, which holds information about a dataset.  This
- * is useful when the dataset contains categorical non-numeric features that
- * needs to be mapped to categorical numeric features.
- */
-#ifndef MLPACK_CORE_DATA_DATASET_INFO_HPP
-#define MLPACK_CORE_DATA_DATASET_INFO_HPP
-
-#include <mlpack/core.hpp>
-#include <unordered_map>
-#include <boost/bimap.hpp>
-
-namespace mlpack {
-namespace data {
-
-/**
- * The Datatype enum specifies the types of data mlpack algorithms can use.  The
- * vast majority of mlpack algorithms can only use numeric data (i.e.
- * float/double/etc.), but some algorithms can use categorical data, specified
- * via this Datatype enum and the DatasetInfo class.
- */
-enum Datatype : bool /* bool is all the precision we need for two types */
-{
-  numeric = 0,
-  categorical = 1
-};
-
-/**
- * Auxiliary information for a dataset, including mappings to/from strings and
- * the datatype of each dimension.  DatasetInfo objects are optionally produced
- * by data::Load(), and store the type of each dimension (Datatype::numeric or
- * Datatype::categorical) as well as mappings from strings to unsigned integers
- * and vice versa.
- */
-class DatasetInfo
-{
- public:
-  /**
-   * Create the DatasetInfo object with the given dimensionality.  Note that the
-   * dimensionality cannot be changed later; you will have to create a new
-   * DatasetInfo object.
-   */
-  DatasetInfo(const size_t dimensionality = 0);
-
-  /**
-   * Given the string and the dimension to which it belongs, return its numeric
-   * mapping.  If no mapping yet exists, the string is added to the list of
-   * mappings for the given dimension.  The dimension parameter refers to the
-   * index of the dimension of the string (i.e. the row in the dataset).
-   *
-   * @param string String to find/create mapping for.
-   * @param dimension Index of the dimension of the string.
-   */  
-  size_t MapString(const std::string &string, const size_t dimension)
-  {
-    return MapStringImpl(string, dimension);
-  }
-
-  size_t MapString(std::string &&string, const size_t dimension)
-  {
-    return MapStringImpl(std::move(string), dimension);
-  }
-
-  /**
-   * Return the string that corresponds to a given value in a given dimension.
-   * If the string is not a valid mapping in the given dimension, a
-   * std::invalid_argument is thrown.
-   *
-   * @param value Mapped value for string.
-   * @param dimension Dimension to unmap string from.
-   */
-  const std::string& UnmapString(const size_t value, const size_t dimension);
-
-  //! Return the type of a given dimension (numeric or categorical).
-  Datatype Type(const size_t dimension) const;
-  //! Modify the type of a given dimension (be careful!).
-  Datatype& Type(const size_t dimension);
-
-  /**
-   * Get the number of mappings for a particular dimension.  If the dimension
-   * is numeric, then this will return 0.
-   */
-  size_t NumMappings(const size_t dimension) const;
-
-  /**
-   * Get the dimensionality of the DatasetInfo object (that is, how many
-   * dimensions it has information for).  If this object was created by a call
-   * to mlpack::data::Load(), then the dimensionality will be the same as the
-   * number of rows (dimensions) in the dataset.
-   */
-  size_t Dimensionality() const;
-
-  /**
-   * Serialize the dataset information.
-   */
-  template<typename Archive>
-  void Serialize(Archive& ar, const unsigned int /* version */)
-  {
-    ar & data::CreateNVP(types, "types");
-    ar & data::CreateNVP(maps, "maps");
-  }
-
- private:    
-  //! Types of each dimension.
-  std::vector<Datatype> types;
-
-  //! Mappings from strings to integers.  Map entries will only exist for
-  //! dimensions that are categorical.
-  std::unordered_map<size_t, std::pair<boost::bimap<std::string, size_t>,
-      size_t>> maps;
-
-  template<typename T>
-  size_t MapStringImpl(T&& string, const size_t dimension);
-};
-
-} // namespace data
-} // namespace mlpack
-
-#include "dataset_info_impl.hpp"
-
-#endif

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