DOC fix a typo in plot_varimax_fa.py (scikit-learn#20676)

pylaterreur · web-flow · commit 83398f447037 · 2021-08-04T20:24:34.000+02:00
typo in an example
diff --git a/examples/decomposition/plot_varimax_fa.py b/examples/decomposition/plot_varimax_fa.py
@@ -7,7 +7,7 @@
 length and petal width are highly correlated. Sepal width is
 less redundant. Matrix decomposition techniques can uncover
 these latent patterns. Applying rotations to the resulting
-components does not inherently improve the predictve value
+components does not inherently improve the predictive value
 of the derived latent space, but can help visualise their
 structure; here, for example, the varimax rotation, which
 is found by maximizing the squared variances of the weights,
