added aliases to params (#4205)

docs/Parameters.rst

@@ -119,7 +119,7 @@ Core Parameters
 
       -  **Note**: internally, LightGBM uses ``gbdt`` mode for the first ``1 / learning_rate`` iterations
 
--  ``linear_tree`` :raw-html:`<a id="linear_tree" title="Permalink to this parameter" href="#linear_tree">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool
+-  ``linear_tree`` :raw-html:`<a id="linear_tree" title="Permalink to this parameter" href="#linear_tree">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool, aliases: ``linear_trees``
 
    -  fit piecewise linear gradient boosting tree
 
@@ -370,7 +370,7 @@ Learning Control Parameters
 
    -  random seed for ``feature_fraction``
 
--  ``extra_trees`` :raw-html:`<a id="extra_trees" title="Permalink to this parameter" href="#extra_trees">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool
+-  ``extra_trees`` :raw-html:`<a id="extra_trees" title="Permalink to this parameter" href="#extra_trees">&#x1F517;&#xFE0E;</a>`, default = ``false``, type = bool, aliases: ``extra_tree``
 
    -  use extremely randomized trees
 

include/LightGBM/config.h

@@ -149,6 +149,7 @@ struct Config {
   // descl2 = **Note**: internally, LightGBM uses ``gbdt`` mode for the first ``1 / learning_rate`` iterations
   std::string boosting = "gbdt";
 
+  // alias = linear_trees
   // desc = fit piecewise linear gradient boosting tree
   // descl2 = tree splits are chosen in the usual way, but the model at each leaf is linear instead of constant
   // descl2 = the linear model at each leaf includes all the numerical features in that leaf's branch
@@ -347,6 +348,7 @@ struct Config {
   // desc = random seed for ``feature_fraction``
   int feature_fraction_seed = 2;
 
+  // alias = extra_tree
   // desc = use extremely randomized trees
   // desc = if set to ``true``, when evaluating node splits LightGBM will check only one randomly-chosen threshold for each feature
   // desc = can be used to speed up training

src/io/config_auto.cpp

@@ -16,6 +16,7 @@ const std::unordered_map<std::string, std::string>& Config::alias_table() {
   {"application", "objective"},
   {"boosting_type", "boosting"},
   {"boost", "boosting"},
+  {"linear_trees", "linear_tree"},
   {"train", "data"},
   {"train_data", "data"},
   {"train_data_file", "data"},
@@ -72,6 +73,7 @@ const std::unordered_map<std::string, std::string>& Config::alias_table() {
   {"colsample_bytree", "feature_fraction"},
   {"sub_feature_bynode", "feature_fraction_bynode"},
   {"colsample_bynode", "feature_fraction_bynode"},
+  {"extra_tree", "extra_trees"},
   {"early_stopping_rounds", "early_stopping_round"},
   {"early_stopping", "early_stopping_round"},
   {"n_iter_no_change", "early_stopping_round"},