本文整理汇总了Python中sklearn.preprocessing.Imputer.set_params方法的典型用法代码示例。如果您正苦于以下问题：Python Imputer.set_params方法的具体用法？Python Imputer.set_params怎么用？Python Imputer.set_params使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.preprocessing.Imputer的用法示例。
在下文中一共展示了Imputer.set_params方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from sklearn.preprocessing import Imputer [as 别名]
# 或者: from sklearn.preprocessing.Imputer import set_params [as 别名]
class ImputerWrapper:
""" A simple wrapper around Imputer and supports using zero to fill in missing values.
If entire column is nan it gets filled with 0 to avoid Imputer removing the column.
"""
def __init__(self, missing_values='NaN', strategy='zero', axis=0, verbose=0, copy=False):
self.strategy = strategy
self.imputer = None
if strategy != 'zero':
self.imputer = Imputer(missing_values, strategy, axis, verbose, copy)
def prepare(self, X):
for j in range(X.shape[1]):
all_nan = True
for i in range(X.shape[0]):
if not numpy.isnan(X[i][j]):
all_nan = False
break
if all_nan:
logging.info('column %d all nan, filling with 0' % j)
for i in range(X.shape[0]):
X[i][j] = 0.0
def fit(self, X, y=None):
if self.strategy == 'zero':
return self
self.prepare(X)
self.imputer.fit(X, y)
return self
def fit_transform(self, X, y=None, **fit_params):
if self.strategy == 'zero':
for i in range(X.shape[0]):
for j in range(X.shape[1]):
if numpy.isnan(X[i][j]):
X[i][j] = 0.0
return X
self.prepare(X)
return self.imputer.fit_transform(X, y, **fit_params)
def get_params(self, deep=True):
if self.strategy == 'zero':
return None
return self.imputer.get_params(deep)
def set_params(self, **params):
if self.strategy == 'zero':
return self
self.imputer.set_params(**params)
return self
def transform(self, X):
if self.strategy == 'zero':
for i in range(X.shape[0]):
for j in range(X.shape[1]):
if numpy.isnan(X[i][j]):
X[i][j] = 0.0
return X
return self.imputer.transform(X)