Flow
TEST26b5a31293sklearn.preprocessing._encoders.OrdinalEncoder

TEST26b5a31293sklearn.preprocessing._encoders.OrdinalEncoder

Visibility: public Uploaded 18-10-2024 by Continuous Integration sklearn==0.23.1 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0 0 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.23.1
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Encode categorical features as an integer array. The input to this transformer should be an array-like of integers or strings, denoting the values taken on by categorical (discrete) features. The features are converted to ordinal integers. This results in a single column of integers (0 to n_categories - 1) per feature.

Parameters

categoriesCategories (unique values) per feature: - 'auto' : Determine categories automatically from the training data - list : ``categories[i]`` holds the categories expected in the ith column. The passed categories should not mix strings and numeric values, and should be sorted in case of numeric values The used categories can be found in the ``categories_`` attributedefault: [[0, 1], [0, 1]]
dtypeDesired dtype of output.default: {"oml-python:serialized_object": "type", "value": "np.float64"}

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table