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adding an entry to the Changelog and updating the API docs
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Zach Griffith committed Mar 20, 2018
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4 changes: 4 additions & 0 deletions docs/sources/CHANGELOG.md
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Expand Up @@ -17,6 +17,10 @@ The CHANGELOG for the current development version is available at

##### New Features


The fit method of the SequentialFeatureSelector now optionally accepts **fit_params for the estimator that is used for the feature selection. ([#350](https://github.com/rasbt/mlxtend/pull/350) by Zach Griffith)


- -

##### Changes
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},
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"\n",
"<hr>\n",
"\n",
"*fit(X, y)*\n",
"*fit(X, y, **fit_params)*\n",
"\n",
"Perform feature selection and learn model from training data.\n",
"\n",
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"\n",
" Target values.\n",
"\n",
"- `fit_params` : dict of string -> object, optional\n",
"\n",
" Parameters to pass to to the fit method of classifier.\n",
"\n",
"**Returns**\n",
"\n",
"- `self` : object\n",
"\n",
"\n",
"<hr>\n",
"\n",
"*fit_transform(X, y)*\n",
"*fit_transform(X, y, **fit_params)*\n",
"\n",
"Fit to training data then reduce X to its most important features.\n",
"\n",
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" Training vectors, where n_samples is the number of samples and\n",
" n_features is the number of features.\n",
"\n",
"- `fit_params` : dict of string -> object, optional\n",
"\n",
" Parameters to pass to to the fit method of classifier.\n",
"\n",
"**Returns**\n",
"\n",
"Reduced feature subset of X, shape={n_samples, k_features}\n",
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