本文整理匯總了Python中sklearn.cross_decomposition.PLSRegression.y_scores_方法的典型用法代碼示例。如果您正苦於以下問題：Python PLSRegression.y_scores_方法的具體用法？Python PLSRegression.y_scores_怎麽用？Python PLSRegression.y_scores_使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sklearn.cross_decomposition.PLSRegression的用法示例。
在下文中一共展示了PLSRegression.y_scores_方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: reduce_PLS
# 需要導入模塊: from sklearn.cross_decomposition import PLSRegression [as 別名]
# 或者: from sklearn.cross_decomposition.PLSRegression import y_scores_ [as 別名]
def reduce_PLS(dataframe):
PLS_file="data/pls_structure.pickle"
selectedcolumn=[x for x in dataframe.columns if x not in ["id","click","device_id","device_ip"]]
X=np.array(dataframe[selectedcolumn])
y=np.array(dataframe["click"])
if os.path.exists(PLS_file):
stand_PLS=pickle.load(open(PLS_file,'rb'))
print "PLS structure is loaded."
else:
stand_PLS=PLSRegression(n_components=10,scale=True)
stand_PLS.fit(X, y[:,np.newaxis])
stand_PLS.y_scores_=None
stand_PLS.x_scores_=None
pickle.dump(stand_PLS,open(PLS_file,"wb"))
print "PLS transform structure is stored."
T=stand_PLS.transform(X)
print "PLS transformation is performed."
return T