From 9981295beaf13c3fc989b3c7dd891aea40a1542b Mon Sep 17 00:00:00 2001 From: fis Date: Wed, 15 Sep 2021 19:17:25 +0800 Subject: [PATCH] Remove old symbol. Remove doc. --- python-package/xgboost/core.py | 17 +++++------------ src/data/data.cc | 2 -- 2 files changed, 5 insertions(+), 14 deletions(-) diff --git a/python-package/xgboost/core.py b/python-package/xgboost/core.py index 7b28d7ea2e52..8f6b3b6fde38 100644 --- a/python-package/xgboost/core.py +++ b/python-package/xgboost/core.py @@ -561,13 +561,7 @@ def __init__( feature_types : Set types for features. When `enable_categorical` is set to `True`, string - "c" represents categorical data type. For numerical data, it can be one for - the following: - - - "q" for quantitive - - "float" for float - - "i" for indicator - - "int" for integer + "c" represents categorical data type. nthread : integer, optional Number of threads to use for loading data when parallelization is @@ -586,11 +580,10 @@ def __init__( .. versionadded:: 1.3.0 - Experimental support of specializing for categorical features. Do - not set to True unless you are interested in development. - Currently it's only available for `gpu_hist` tree method with 1 vs - rest (one hot) categorical split. Also, JSON serialization format, - `gpu_predictor` and pandas input are required. + Experimental support of specializing for categorical features. Do not set to + True unless you are interested in development. Currently it's only available + for `gpu_hist` tree method with 1 vs rest (one hot) categorical split. Also, + JSON serialization format is required. """ if group is not None and qid is not None: diff --git a/src/data/data.cc b/src/data/data.cc index 23ccfae5060d..db57206f0c33 100644 --- a/src/data/data.cc +++ b/src/data/data.cc @@ -200,8 +200,6 @@ void LoadFeatureType(std::vectorconst& type_names, std::vectoremplace_back(FeatureType::kNumerical); } else if (elem == "q") { types->emplace_back(FeatureType::kNumerical); - } else if (elem == "categorical") { - types->emplace_back(FeatureType::kCategorical); } else if (elem == "c") { types->emplace_back(FeatureType::kCategorical); } else {