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DOC Add links to text/plot_hashing_vs_dict_vectorizer.py example #26967

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Aug 24, 2023
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DOC Add links to text/plot_hashing_vs_dict_vectorizer.py example #26967

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fe538a5
added links to "plot_hashing_vs_dict_vectorizer" example
Tialo Jul 31, 2023
d8e0d35
deleted link from TfidfTransformer
Tialo Aug 12, 2023
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3 changes: 3 additions & 0 deletions sklearn/feature_extraction/_dict_vectorizer.py
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Expand Up @@ -42,6 +42,9 @@ class DictVectorizer(TransformerMixin, BaseEstimator):
Features that do not occur in a sample (mapping) will have a zero value
in the resulting array/matrix.

For an efficiency comparision of the different feature extractors, see
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`.

Read more in the :ref:`User Guide <dict_feature_extraction>`.

Parameters
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3 changes: 3 additions & 0 deletions sklearn/feature_extraction/_hash.py
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Expand Up @@ -34,6 +34,9 @@ class FeatureHasher(TransformerMixin, BaseEstimator):
where memory is tight, e.g. when running prediction code on embedded
devices.

For an efficiency comparision of the different feature extractors, see
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`.

Read more in the :ref:`User Guide <feature_hashing>`.

.. versionadded:: 0.13
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9 changes: 9 additions & 0 deletions sklearn/feature_extraction/text.py
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Expand Up @@ -602,6 +602,9 @@ class HashingVectorizer(

The hash function employed is the signed 32-bit version of Murmurhash3.

For an efficiency comparision of the different feature extractors, see
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`.

Read more in the :ref:`User Guide <text_feature_extraction>`.

Parameters
Expand Down Expand Up @@ -933,6 +936,9 @@ class CountVectorizer(_VectorizerMixin, BaseEstimator):
that does some kind of feature selection then the number of features will
be equal to the vocabulary size found by analyzing the data.

For an efficiency comparision of the different feature extractors, see
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`.

Read more in the :ref:`User Guide <text_feature_extraction>`.

Parameters
Expand Down Expand Up @@ -1758,6 +1764,9 @@ class TfidfVectorizer(CountVectorizer):
For an example of usage, see
:ref:`sphx_glr_auto_examples_text_plot_document_classification_20newsgroups.py`.

For an efficiency comparision of the different feature extractors, see
:ref:`sphx_glr_auto_examples_text_plot_hashing_vs_dict_vectorizer.py`.

Read more in the :ref:`User Guide <text_feature_extraction>`.

Parameters
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