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- "description": "Specifies a methodology to use to drop one of the categories per\nfeature. This is useful in situations where perfectly collinear\nfeatures cause problems, such as when feeding the resulting data\ninto an unregularized linear regression model.\n\nHowever, dropping one category breaks the symmetry of the original\nrepresentation and can therefore induce a bias in downstream models,\nfor instance for penalized linear classification or regression models.\n\n- None : retain all features (the default).\n- 'first' : drop the first category in each feature. If only one\ncategory is present, the feature will be dropped entirely.\n- 'if_binary' : drop the first category in each feature with two\ncategories. Features with 1 or more than 2 categories are\nleft intact.\n- array : ``drop[i]`` is the category in feature ``X[:, i]`` that\nshould be dropped.\n\n.. versionadded:: 0.21\nThe parameter `drop` was added in 0.21.\n\n.. versionchanged:: 0.23\nThe option `drop='if_binary'` was added in 0.23.\n\n.. versionchanged:: 1.1\nSupport for dropping infrequent categories.\n",
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+ "description": "Specifies a methodology to use to drop one of the categories per\nfeature. This is useful in situations where perfectly collinear\nfeatures cause problems, such as when feeding the resulting data\ninto an unregularized linear regression model.\n\nHowever, dropping one category breaks the symmetry of the original\nrepresentation and can therefore induce a bias in downstream models,\nfor instance for penalized linear classification or regression models.\n\n- None : retain all features (the default).\n- 'first' : drop the first category in each feature. If only one\ncategory is present, the feature will be dropped entirely.\n- 'if_binary' : drop the first category in each feature with two\ncategories. Features with 1 or more than 2 categories are\nleft intact.\n- array : ``drop[i]`` is the category in feature ``X[:, i]`` that\nshould be dropped.\n\nWhen `max_categories` or `min_frequency` is configured to group\ninfrequent categories, the dropping behavior is handled after the\ngrouping.\n\n.. versionadded:: 0.21\nThe parameter `drop` was added in 0.21.\n\n.. versionchanged:: 0.23\nThe option `drop='if_binary'` was added in 0.23.\n\n.. versionchanged:: 1.1\nSupport for dropping infrequent categories.\n",
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Lutz Roeder