From 0cdd91d8e4677a052d9dea5580bf645d8bc93d84 Mon Sep 17 00:00:00 2001
From: Joel Nothman <joel.nothman@gmail.com>
Date: Mon, 10 Jul 2017 18:22:00 +1000
Subject: [PATCH] [MRG] COSMIT Remove unused parameters in private functions
(#9310)
* Remove unused parameter
* COSMIT another unused parameter
* COSMIT another unused parameter
---
sklearn/datasets/kddcup99.py | 6 +-----
sklearn/model_selection/_split.py | 2 +-
sklearn/neural_network/multilayer_perceptron.py | 2 +-
3 files changed, 3 insertions(+), 7 deletions(-)
diff --git a/sklearn/datasets/kddcup99.py b/sklearn/datasets/kddcup99.py
index 89c74238bc..6d52c5b621 100644
--- a/sklearn/datasets/kddcup99.py
+++ b/sklearn/datasets/kddcup99.py
@@ -222,7 +222,7 @@ def fetch_kddcup99(subset=None, data_home=None, shuffle=False,
return Bunch(data=data, target=target)
-def _fetch_brute_kddcup99(subset=None, data_home=None,
+def _fetch_brute_kddcup99(data_home=None,
download_if_missing=True, random_state=None,
shuffle=False, percent10=True):
@@ -230,10 +230,6 @@ def _fetch_brute_kddcup99(subset=None, data_home=None,
Parameters
----------
- subset : None, 'SA', 'SF', 'http', 'smtp'
- To return the corresponding classical subsets of kddcup 99.
- If None, return the entire kddcup 99 dataset.
-
data_home : string, optional
Specify another download and cache folder for the datasets. By default
all scikit-learn data is stored in '~/scikit_learn_data' subfolders.
diff --git a/sklearn/model_selection/_split.py b/sklearn/model_selection/_split.py
index 3f228e85c4..4bcc0ae1c5 100644
--- a/sklearn/model_selection/_split.py
+++ b/sklearn/model_selection/_split.py
@@ -566,7 +566,7 @@ class StratifiedKFold(_BaseKFold):
def __init__(self, n_splits=3, shuffle=False, random_state=None):
super(StratifiedKFold, self).__init__(n_splits, shuffle, random_state)
- def _make_test_folds(self, X, y=None, groups=None):
+ def _make_test_folds(self, X, y=None):
if self.shuffle:
rng = check_random_state(self.random_state)
else:
diff --git a/sklearn/neural_network/multilayer_perceptron.py b/sklearn/neural_network/multilayer_perceptron.py
index ec1196a3e2..d4adfd9107 100644
--- a/sklearn/neural_network/multilayer_perceptron.py
+++ b/sklearn/neural_network/multilayer_perceptron.py
@@ -640,7 +640,7 @@ class BaseMultilayerPerceptron(six.with_metaclass(ABCMeta, BaseEstimator)):
% self.solver)
return self._partial_fit
- def _partial_fit(self, X, y, classes=None):
+ def _partial_fit(self, X, y):
return self._fit(X, y, incremental=True)
def _predict(self, X):
--
GitLab