Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Reference Issues/PRs
Issue #31571
What does this implement/fix? Explain your changes.
I found some bugs or unclear areas that need further improvement in several versions of whats_new documentation.
v1.5.0
Y
in favor ofy
in the methods fit, transform and inverse_transform of: :class:cross_decomposition.PLSRegression
, :class:cross_decomposition.PLSCanonical
, :class:cross_decomposition.CCA
, and :class:cross_decomposition.PLSSVD
."(link) However, classcross_decomposition.PLSSVD
doesn‘t seem to have theinverse_transform
method (refer to class PLSSVD)store_cv_values
andcv_values_
are Parameters (like the previous item), otherwise it will be misleading to know whether they are parameters or methods.v1.4.0
sklearn.extmath.log_logistic
is deprecated and will be removed in 1.6. Use-np.logaddexp(0, -x)
instead."(link) The full qualified name of functionlog_logistic
should besklearn.utils.extmath.log_logistic
.v1.3.0
model_selection.LearningCurveDisplay
has been deprecated in 1.3 and will be removed in 1.5."(link) The deprecated parameterlog_scale
is actually a parameter of theplot
method of the classmodel_selection.LearningCurveDisplay
, not the class constructor. Refer to this.Any other comments?
@adrinjalali