[docs] added aliases for MAPE and MAP (#1204)

* added cross-entropy into Features

* added aliases

docs/Features.rst

@@ -189,6 +189,8 @@ Support following application:
 
 -  multi classification
 
+-  cross-entropy
+
 -  lambdarank, the objective function is lambdarank with NDCG
 
 Support following metrics:
@@ -221,7 +223,7 @@ Support following metrics:
 
 -  MAPE
 
--  kullback Leibler
+-  Kullback-Leibler
 
 For more details, please refer to `Parameters <./Parameters.rst#metric-parameters>`__.
 

docs/Parameters.rst

@@ -72,7 +72,7 @@ Core Parameters
 
       -  ``quantile``, `Quantile regression`_
 
-      -  ``mape``, `MAPE loss`_
+      -  ``mape``, `MAPE loss`_, alias=\ ``mean_absolute_percentage_error``
 
    -  ``binary``, binary `log loss`_ classification application
 
@@ -570,7 +570,7 @@ Metric Parameters
 
    -  ``quantile``, `Quantile regression`_
    
-   -  ``mape``, `MAPE loss`_
+   -  ``mape``, `MAPE loss`_, alias=\ ``mean_absolute_percentage_error``
 
    -  ``huber``, `Huber loss`_
 
@@ -580,7 +580,7 @@ Metric Parameters
 
    -  ``ndcg``, `NDCG`_
 
-   -  ``map``, `MAP`_
+   -  ``map``, `MAP`_, alias=\ ``mean_average_precision``
 
    -  ``auc``, `AUC`_
 

src/metric/metric.cpp

@@ -31,7 +31,7 @@ Metric* Metric::CreateMetric(const std::string& type, const MetricConfig& config
     return new AUCMetric(config);
   } else if (type == std::string("ndcg")) {
     return new NDCGMetric(config);
-  } else if (type == std::string("map")) {
+  } else if (type == std::string("map") || type == std::string("mean_average_precision")) {
     return new MapMetric(config);
   } else if (type == std::string("multi_logloss")) {
     return new MultiSoftmaxLoglossMetric(config);