From ab4098ef44ba4e87f7dfcc79505388601e13a3e1 Mon Sep 17 00:00:00 2001
From: Lars Buitinck <L.J.Buitinck@uva.nl>
Date: Tue, 20 Sep 2011 15:37:23 +0200
Subject: [PATCH] pep8 sklearn/utils/__init__.py
---
sklearn/utils/__init__.py | 11 ++++++-----
1 file changed, 6 insertions(+), 5 deletions(-)
diff --git a/sklearn/utils/__init__.py b/sklearn/utils/__init__.py
index 96658c0e9a..5e7a5484f4 100644
--- a/sklearn/utils/__init__.py
+++ b/sklearn/utils/__init__.py
@@ -2,6 +2,7 @@ import numpy as np
import scipy.sparse as sp
import warnings
+
def assert_all_finite(X):
"""Throw a ValueError if X contains NaN or infinity.
Input MUST be an np.ndarray instance or a scipy.sparse matrix."""
@@ -22,12 +23,11 @@ def safe_asanyarray(X, dtype=None, order=None):
def as_float_array(X, overwrite_X=False):
- """
- Converts a numpy array to type np.float
+ """Converts a numpy array to an array of floats
- The new dtype will be float32 or np.float64, depending on the original type.
- The function can create a copy or modify the argument depending
- of the argument overwrite_X
+ The new dtype will be np.float32 or np.float64, depending on the original
+ type. The function can create a copy or modify the argument depending
+ on the argument overwrite_X.
WARNING : If X is not of type float, then a copy of X with the right type
will be returned
@@ -198,6 +198,7 @@ class deprecated(object):
# FIXME: we should probably reset __new__ for full generality
init = cls.__init__
+
def wrapped(*args, **kwargs):
warnings.warn(msg, category=DeprecationWarning)
return init(*args, **kwargs)
--
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