[doc] minor doc fix for gamma param (#2180)

microsoft · May 15, 2019 · 6f3fae5 · 6f3fae5
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diff --git a/docs/Parameters.rst b/docs/Parameters.rst
@@ -51,7 +51,7 @@ Core Parameters
 
    -  **Note**: can be used only in CLI version; for language-specific packages you can use the correspondent functions
 
--  ``objective`` :raw-html:`<a id="objective" title="Permalink to this parameter" href="#objective">&#x1F517;&#xFE0E;</a>`, default = ``regression``, type = enum, options: ``regression``, ``regression_l1``, ``huber``, ``fair``, ``poisson``, ``quantile``, ``mape``, ``gammma``, ``tweedie``, ``binary``, ``multiclass``, ``multiclassova``, ``xentropy``, ``xentlambda``, ``lambdarank``, aliases: ``objective_type``, ``app``, ``application``
+-  ``objective`` :raw-html:`<a id="objective" title="Permalink to this parameter" href="#objective">&#x1F517;&#xFE0E;</a>`, default = ``regression``, type = enum, options: ``regression``, ``regression_l1``, ``huber``, ``fair``, ``poisson``, ``quantile``, ``mape``, ``gamma``, ``tweedie``, ``binary``, ``multiclass``, ``multiclassova``, ``xentropy``, ``xentlambda``, ``lambdarank``, aliases: ``objective_type``, ``app``, ``application``
 
    -  regression application
 

diff --git a/include/LightGBM/config.h b/include/LightGBM/config.h
@@ -102,7 +102,7 @@ struct Config {
 
   // [doc-only]
   // type = enum
-  // options = regression, regression_l1, huber, fair, poisson, quantile, mape, gammma, tweedie, binary, multiclass, multiclassova, xentropy, xentlambda, lambdarank
+  // options = regression, regression_l1, huber, fair, poisson, quantile, mape, gamma, tweedie, binary, multiclass, multiclassova, xentropy, xentlambda, lambdarank
   // alias = objective_type, app, application
   // desc = regression application
   // descl2 = ``regression_l2``, L2 loss, aliases: ``regression``, ``mean_squared_error``, ``mse``, ``l2_root``, ``root_mean_squared_error``, ``rmse``