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Unverified Commit 82ae9b20 authored by Nikita Titov's avatar Nikita Titov Committed by GitHub
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[docs] updated docs of num_iterations parameter (#1515)

* updated docs of num_iterations parameter

* updated num_iterations param description for R
parent 0cf8dd1f
......@@ -127,8 +127,6 @@ Core Parameters
- number of boosting iterations
- **Note**: for Python/R-package, **this parameter is ignored**, use ``num_boost_round`` (Python) or ``nrounds`` (R) input arguments of ``train`` and ``cv`` methods instead
- **Note**: internally, LightGBM constructs ``num_class * num_iterations`` trees for multi-class classification problems
- ``learning_rate`` :raw-html:`<a id="learning_rate" title="Permalink to this parameter" href="#learning_rate">&#x1F517;&#xFE0E;</a>`, default = ``0.1``, type = double, aliases: ``shrinkage_rate``, ``eta``, constraints: ``learning_rate > 0.0``
......
......@@ -150,7 +150,6 @@ public:
// alias = num_iteration, n_iter, num_tree, num_trees, num_round, num_rounds, num_boost_round, n_estimators
// check = >=0
// desc = number of boosting iterations
// desc = **Note**: for Python/R-package, **this parameter is ignored**, use ``num_boost_round`` (Python) or ``nrounds`` (R) input arguments of ``train`` and ``cv`` methods instead
// desc = **Note**: internally, LightGBM constructs ``num_class * num_iterations`` trees for multi-class classification problems
int num_iterations = 100;
......
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