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Empty file added docs/docs/sources/CHANGELOG.md
Empty file.
2 changes: 2 additions & 0 deletions docs/sources/CHANGELOG.md
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Expand Up @@ -17,6 +17,8 @@ The CHANGELOG for the current development version is available at

##### Changes

- Removed explicit `multi_class="multinomial"` arguments, which are deprecated in newer versions of scikit-learn, from LogisticRegression usage in examples / notebooks / tests ([#1147](https://github.com/rasbt/mlxtend/issues/1147) via [sachinn854](https://github.com/sachinn854))

- Added multiprocessing support for apriori via the `n_jobs` parameter ([#1151](https://github.com/rasbt/mlxtend/issues/1151) via [mariam851](https://github.com/mariam851))


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331 changes: 159 additions & 172 deletions docs/sources/user_guide/feature_selection/ExhaustiveFeatureSelector.ipynb

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1,027 changes: 959 additions & 68 deletions docs/sources/user_guide/plotting/plot_decision_regions.ipynb

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Expand Up @@ -382,7 +382,7 @@ def _fit(self, X, y, init_params=True):
update = self.eta * (y_data[idx] - self._to_classlabels(X[idx]))
self.w_ += (update * X[idx]).reshape(self.w_.shape)
self.b_ += update
errors += int(update != 0.0)
errors += int(update.item() != 0.0)

if self.print_progress:
self._print_progress(
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Original file line number Diff line number Diff line change
Expand Up @@ -526,7 +526,7 @@ def _fit(self, X, y, init_params=True):
update = self.eta * (y_data[idx] - self._to_classlabels(X[idx]))
self.w_ += (update * X[idx]).reshape(self.w_.shape)
self.b_ += update
errors += int(update != 0.0)
errors += int(update.item() != 0.0)

if self.print_progress:
self.print_progress(
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