考慮到在日常中，常常需要對(duì)模型指標(biāo)輸出，但涉及多個(gè)模型的時(shí)候，需要對(duì)其有標(biāo)示輸出，故需要將模型變量名轉(zhuǎn)換成字符串。

看到的基本方法有兩種：

一、方法層面：

方法1（函數(shù)內(nèi)推薦）：

def namestr(obj, namespace): return [name for name in namespace if namespace[name] is obj]print(namestr(lr_origin,globals()),’n’,namestr(lr_origin,globals())[0])

輸出：

‘lr_origin’

方法2：

import inspect, redef varname(p): for line in inspect.getframeinfo(inspect.currentframe().f_back)[3]: m = re.search(r’bvarnames*(s*([A-Za-z_][A-Za-z0-9_]*)s*)’, line) if m: return m.group(1)varname(lr_origin)

輸出：

’lr_origin’

二、示例

采用方法1

def small_feature_model(model,X_train=X_train,y_train=y_train,X_test=X_test, y_test=y_test): pca = PCA(n_components=150,random_state=0,whiten=True) pipeline = Pipeline([(’scale’,StandardScaler()),(’pca’,pca)]) processing = pipeline.fit(X_train) X_train = processing.transform(X_train) X_test = processing.transform(X_test) model.fit(X_train, y_train) y_pred = model.predict(X_test)# print(namestr(model,globals())) print(’**small-%s的準(zhǔn)確率**: %.3f’ %(namestr(model,globals())[0],accuracy_score(y_pred=y_pred, y_true=y_test))) small_feature_model(svm_origin)

輸出

[’svm_origin’]**small-svm_origin的準(zhǔn)確率**: 0.789

for model in [svm_origin, svm_rbf, lr_origin]:small_feature_model(model)

輸出

**small-svm_origin的準(zhǔn)確率**: 0.789**small-svm_rbf的準(zhǔn)確率**: 0.811**small-lr_origin的準(zhǔn)確率**: 0.835

采用方法2

def small_feature_model(model,X_train=X_train,y_train=y_train,X_test=X_test, y_test=y_test): pca = PCA(n_components=150,random_state=0,whiten=True) pipeline = Pipeline([(’scale’,StandardScaler()),(’pca’,pca)]) processing = pipeline.fit(X_train) X_train = processing.transform(X_train) X_test = processing.transform(X_test) model.fit(X_train, y_train) y_pred = model.predict(X_test)# print(namestr(model,globals())) print(’**small-%s的準(zhǔn)確率**: %.3f’ %(varname(model),accuracy_score(y_pred=y_pred, y_true=y_test))) small_feature_model(svm_origin)

輸出

**small-model的準(zhǔn)確率**: 0.789

for model in [svm_origin, svm_rbf, lr_origin]:small_feature_model(model)

輸出

**small-model的準(zhǔn)確率**: 0.789**small-model的準(zhǔn)確率**: 0.811**small-model的準(zhǔn)確率**: 0.835

補(bǔ)充知識(shí)：一個(gè)python實(shí)現(xiàn)翻轉(zhuǎn)字符串的函數(shù)

實(shí)現(xiàn)字符串翻轉(zhuǎn)的函數(shù)(python)

string = ’abcdef’def demo1(string): if len(string) <= 1: return string return demo1(string[1:]) +string[0]print(demo1(string))

中間用到了遞歸和切片不知道效率如何

以上這篇python函數(shù)中將變量名轉(zhuǎn)換成字符串實(shí)例就是小編分享給大家的全部?jī)?nèi)容了，希望能給大家一個(gè)參考，也希望大家多多支持好吧啦網(wǎng)。