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DOC Fix typos in datasets documentation (#13474)

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Chris Choe 2019-03-19 17:45:44 -07:00 committed by Hanmin Qin
parent 777a5e448f
commit e4ea9630e1
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9
doc/datasets/index.rst
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@ -50,7 +50,7 @@ These functions return a tuple ``(X, y)`` consisting of a ``n_samples`` *
``n_features`` numpy array ``X`` and an array of length ``n_samples``
containing the targets ``y``.
In addition, there are also miscellanous tools to load datasets of other
In addition, there are also miscellaneous tools to load datasets of other
formats or from other locations, described in the :ref:`loading_other_datasets`
section.
@ -171,8 +171,9 @@ near-equal-size classes separated by concentric hyperspheres.
:func:`make_circles` and :func:`make_moons` generate 2d binary classification
datasets that are challenging to certain algorithms (e.g. centroid-based
clustering or linear classification), including optional Gaussian noise.
They are useful for visualisation. produces Gaussian
data with a spherical decision boundary for binary classification.
They are useful for visualisation. :func:`make_circles` produces Gaussian data
with a spherical decision boundary for binary classification, while
:func:`make_moons` produces two interleaving half circles.
Multilabel
~~~~~~~~~~
@ -261,7 +262,7 @@ Sample images
-------------
Scikit-learn also embed a couple of sample JPEG images published under Creative
Commons license by their authors. Those image can be useful to test algorithms
Commons license by their authors. Those images can be useful to test algorithms
and pipeline on 2D data.
.. autosummary::