[ML] Rename standardize_columns to standardization_enabled (#716)

Author: dimitris-athanasiou

include/api/CDataFrameOutliersRunner.h

@@ -57,7 +57,7 @@ class API_EXPORT CDataFrameOutliersRunner final : public CDataFrameAnalysisRunne
     std::size_t m_Method;
 
     //! If true then standardise the feature values.
-    bool m_StandardizeColumns = true;
+    bool m_StandardizationEnabled = true;
 
     //! Compute the significance of features responsible for each point being outlying.
     bool m_ComputeFeatureInfluence = true;

lib/api/CDataFrameOutliersRunner.cc

@@ -27,7 +27,7 @@ namespace ml {
 namespace api {
 namespace {
 // Configuration
-const std::string STANDARDIZE_COLUMNS{"standardize_columns"};
+const std::string STANDARDIZATION_ENABLED{"standardization_enabled"};
 const std::string N_NEIGHBORS{"n_neighbors"};
 const std::string METHOD{"method"};
 const std::string COMPUTE_FEATURE_INFLUENCE{"compute_feature_influence"};
@@ -40,7 +40,7 @@ const CDataFrameAnalysisConfigReader PARAMETER_READER{[] {
     const std::string knn{"distance_kth_nn"};
     const std::string tnn{"distance_knn"};
     CDataFrameAnalysisConfigReader theReader;
-    theReader.addParameter(STANDARDIZE_COLUMNS,
+    theReader.addParameter(STANDARDIZATION_ENABLED,
                            CDataFrameAnalysisConfigReader::E_OptionalParameter);
     theReader.addParameter(N_NEIGHBORS, CDataFrameAnalysisConfigReader::E_OptionalParameter);
     theReader.addParameter(METHOD, CDataFrameAnalysisConfigReader::E_OptionalParameter,
@@ -66,7 +66,7 @@ CDataFrameOutliersRunner::CDataFrameOutliersRunner(
     const CDataFrameAnalysisConfigReader::CParameters& parameters)
     : CDataFrameOutliersRunner{spec} {
 
-    m_StandardizeColumns = parameters[STANDARDIZE_COLUMNS].fallback(true);
+    m_StandardizationEnabled = parameters[STANDARDIZATION_ENABLED].fallback(true);
     m_NumberNeighbours = parameters[N_NEIGHBORS].fallback(std::size_t{0});
     m_Method = parameters[METHOD].fallback(maths::COutliers::E_Ensemble);
     m_ComputeFeatureInfluence = parameters[COMPUTE_FEATURE_INFLUENCE].fallback(true);
@@ -113,7 +113,7 @@ void CDataFrameOutliersRunner::runImpl(const TStrVec&, core::CDataFrame& frame)
 
     maths::COutliers::SComputeParameters params{this->spec().numberThreads(),
                                                 this->numberPartitions(),
-                                                m_StandardizeColumns,
+                                                m_StandardizationEnabled,
                                                 static_cast<maths::COutliers::EMethod>(m_Method),
                                                 m_NumberNeighbours,
                                                 m_ComputeFeatureInfluence,
@@ -138,7 +138,7 @@ CDataFrameOutliersRunner::estimateBookkeepingMemoryUsage(std::size_t numberParti
                                                          std::size_t numberColumns) const {
     maths::COutliers::SComputeParameters params{this->spec().numberThreads(),
                                                 numberPartitions,
-                                                m_StandardizeColumns,
+                                                m_StandardizationEnabled,
                                                 static_cast<maths::COutliers::EMethod>(m_Method),
                                                 m_NumberNeighbours,
                                                 m_ComputeFeatureInfluence,