rename Objective_Unknown -> Objective_Other

Author: paulbkoch

python/interpret-core/interpret/utils/_native.py

@@ -69,7 +69,7 @@ class Native:
     Task_MulticlassPlus = 3
 
     # Objectives
-    Objective_Unknown = 0
+    Objective_Other = 0
     Objective_MonoClassification = 1
     Objective_LogLossBinary = 2
     Objective_LogLossMulticlass = 3
@@ -830,7 +830,7 @@ def determine_task(self, objective):
         return task.decode("ascii")
 
     def determine_link(self, flags, objective, n_classes):
-        objective_code = ct.c_int32(0)
+        objective_code = ct.c_int32(Native.Objective_Other)
         link = ct.c_int32(0)
         link_param = ct.c_double(np.nan)
 

shared/libebm/DetermineLinkFunction.cpp

@@ -104,7 +104,7 @@ EBM_API_BODY ErrorEbm EBM_CALLING_CONVENTION DetermineLinkFunction(LinkFlags fla
       LOG_0(Trace_Error, "ERROR DetermineLinkFunction GetObjective failed");
 
       if(nullptr != objectiveOut) {
-         *objectiveOut = Objective_Unknown;
+         *objectiveOut = Objective_Other;
       }
       if(nullptr != linkOut) {
          *linkOut = Link_Unknown;
@@ -126,7 +126,7 @@ EBM_API_BODY ErrorEbm EBM_CALLING_CONVENTION DetermineLinkFunction(LinkFlags fla
          LOG_0(Trace_Error, "ERROR DetermineLinkFunction cClasses mismatch to objective");
 
          if(nullptr != objectiveOut) {
-            *objectiveOut = Objective_Unknown;
+            *objectiveOut = Objective_Other;
          }
          if(nullptr != linkOut) {
             *linkOut = Link_Unknown;
@@ -140,7 +140,7 @@ EBM_API_BODY ErrorEbm EBM_CALLING_CONVENTION DetermineLinkFunction(LinkFlags fla
          LOG_0(Trace_Error, "ERROR DetermineLinkFunction cClasses cannot be zero");
 
          if(nullptr != objectiveOut) {
-            *objectiveOut = Objective_Unknown;
+            *objectiveOut = Objective_Other;
          }
          if(nullptr != linkOut) {
             *linkOut = Link_Unknown;

shared/libebm/bridge/bridge.h

@@ -160,7 +160,7 @@ struct ObjectiveWrapper {
 inline static void InitializeObjectiveWrapperUnfailing(ObjectiveWrapper* const pObjectiveWrapper) {
    pObjectiveWrapper->m_pObjective = NULL;
    pObjectiveWrapper->m_bMaximizeMetric = EBM_FALSE;
-   pObjectiveWrapper->m_objective = Objective_Unknown;
+   pObjectiveWrapper->m_objective = Objective_Other;
    pObjectiveWrapper->m_linkFunction = Link_Unknown;
    pObjectiveWrapper->m_linkParam = 0.0;
    pObjectiveWrapper->m_learningRateAdjustmentDifferentialPrivacy = 0.0;

shared/libebm/compute/objectives/ExampleRegressionObjective.hpp

@@ -11,7 +11,7 @@ template<typename TFloat> struct ExampleRegressionObjective : RegressionObjectiv
    //   - this class type
    //   - MINIMIZE_METRIC or MAXIMIZE_METRIC determines which direction the metric should go for early stopping
    //   - Link function type. See libebm.h for a list of available link functions
-   OBJECTIVE_BOILERPLATE(ExampleRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_identity, true)
+   OBJECTIVE_BOILERPLATE(ExampleRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_identity, true)
 
    // member variables should be of type TFloat
    TFloat m_param0;

shared/libebm/compute/objectives/GammaDevianceRegressionObjective.hpp

@@ -7,7 +7,7 @@
 // TFloat is a datatype that could hold inside a double, float, or some SIMD intrinsic type.
 // See cpu_64.cpp, avx2_32.cpp, and cuda_32.cu as examples where TFloat operators are defined.
 template<typename TFloat> struct GammaDevianceRegressionObjective : RegressionObjective {
-   OBJECTIVE_BOILERPLATE(GammaDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_log, true)
+   OBJECTIVE_BOILERPLATE(GammaDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_log, true)
 
    inline GammaDevianceRegressionObjective(const Config& config) {
       if(config.cOutputs != 1) {

shared/libebm/compute/objectives/PoissonDevianceRegressionObjective.hpp

@@ -7,7 +7,7 @@
 // TFloat is a datatype that could hold inside a double, float, or some SIMD intrinsic type.
 // See cpu_64.cpp, avx2_32.cpp, and cuda_32.cu as examples where TFloat operators are defined.
 template<typename TFloat> struct PoissonDevianceRegressionObjective : RegressionObjective {
-   OBJECTIVE_BOILERPLATE(PoissonDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_log, true)
+   OBJECTIVE_BOILERPLATE(PoissonDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_log, true)
 
    // The constructor parameters following config must match the RegisterObjective parameters in
    // objective_registrations.hpp

shared/libebm/compute/objectives/PseudoHuberRegressionObjective.hpp

@@ -7,7 +7,7 @@
 // TFloat is a datatype that could hold inside a double, float, or some SIMD intrinsic type.
 // See cpu_64.cpp, avx2_32.cpp, and cuda_32.cu as examples where TFloat operators are defined.
 template<typename TFloat> struct PseudoHuberRegressionObjective : RegressionObjective {
-   OBJECTIVE_BOILERPLATE(PseudoHuberRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_identity, true)
+   OBJECTIVE_BOILERPLATE(PseudoHuberRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_identity, true)
 
    TFloat m_deltaInverted;
    double m_deltaSquared;

shared/libebm/compute/objectives/RmseLogLinkRegressionObjective.hpp

@@ -7,7 +7,7 @@
 // TFloat is a datatype that could hold inside a double, float, or some SIMD intrinsic type.
 // See cpu_64.cpp, avx2_32.cpp, and cuda_32.cu as examples where TFloat operators are defined.
 template<typename TFloat> struct RmseLogLinkRegressionObjective : RegressionObjective {
-   OBJECTIVE_BOILERPLATE(RmseLogLinkRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_log, false)
+   OBJECTIVE_BOILERPLATE(RmseLogLinkRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_log, false)
 
    inline RmseLogLinkRegressionObjective(const Config& config) {
       if(config.cOutputs != 1) {

shared/libebm/compute/objectives/TweedieDevianceRegressionObjective.hpp

@@ -7,7 +7,7 @@
 // TFloat is a datatype that could hold inside a double, float, or some SIMD intrinsic type.
 // See cpu_64.cpp, avx2_32.cpp, and cuda_32.cu as examples where TFloat operators are defined.
 template<typename TFloat> struct TweedieDevianceRegressionObjective : RegressionObjective {
-   OBJECTIVE_BOILERPLATE(TweedieDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Unknown, Link_log, true)
+   OBJECTIVE_BOILERPLATE(TweedieDevianceRegressionObjective, MINIMIZE_METRIC, Objective_Other, Link_log, true)
 
    TFloat m_variancePowerParamSub1;
    TFloat m_variancePowerParamSub2;

shared/libebm/inc/libebm.h

@@ -262,7 +262,7 @@ typedef struct _InteractionHandle {
 #define Task_BinaryClassification  (TASK_CAST(2)) // 2 classes
 #define Task_MulticlassPlus        (TASK_CAST(3)) // 3+ classes (the value is the # of classes)
 
-#define Objective_Unknown            (OBJECTIVE_CAST(0))
+#define Objective_Other              (OBJECTIVE_CAST(0))
 #define Objective_MonoClassification (OBJECTIVE_CAST(1))
 #define Objective_LogLossBinary      (OBJECTIVE_CAST(2))
 #define Objective_LogLossMulticlass  (OBJECTIVE_CAST(3))