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我試圖計算方誤差之和(SSE),下面提到雖然計算SSE收到錯誤:「numpy.float64」對象不是可迭代
def SSEadver(tv_train,radio_train,newsppr_train,y_train):
y_train_predct = []
sse_train = 0
y_train_predct_srs = 0
# Calculating the predicted sales values on training data
for i in range(0,len(tv_train)):
y_train_predct.append(2.8769666223179353 + (0.04656457* tv_train.iloc[i])+ (0.17915812*(radio_train.iloc[i])) + (0.00345046*(newsppr_train.iloc[i])))
# ** Here I Convert y_train_predct's type List to Series, but still it is showing type as list**
y_train_predct_srs = pd.Series(y_train_predct)
# *** Due above converting not working here y_train_predct_srs.iloc[j]) is not working***
# Now calculate SSE (sum of Squared Errors)
for j in range (len(y_train)):
sse_train += sum((y_train.iloc[j] - y_train_predct_srs.iloc[j])**2)
return y_train_predct, y_train_predct_srs
sse_train = SSEadver(tv_train,radio_train,newsppr_train, y_train)
代碼,而我運行此代碼我收到錯誤:
TypeError Traceback (most recent call last)
<ipython-input-446-576e1af02461> in <module>()
20 return y_train_predct, y_train_predct_srs
21
---> 22 sse_train = SSEadver(tv_train,radio_train,newsppr_train, y_train)
23
<ipython-input-446-576e1af02461> in SSEadver(tv_train, radio_train, newsppr_train, y_train)
14 # Now calculate SSE (sum of Squared Errors)
15 for j in range (len(y_train)):
---> 16 sse_train += sum((y_train.iloc[j] - y_train_predct_srs.iloc[j])**2)
17
18
TypeError: 'numpy.float64' object is not iterable
爲什麼我收到THI錯誤?我使用Python 3.X.X
['numpy.float64'對象的可能重複是不可迭代的 - meanshift集羣](https://stackoverflow.com/questions/39048355/numpy-float64-object-is-not-iterable-meanshift-clustering) – Sombrero
#這裏我嘗試將y_train_predct類型List轉換爲Series,但它被轉換爲元組而不是Pandas Data Series。 ** y_train_predct_srs = pd.Series(y_train_predct)** – user3631357
但是相同的代碼行,一旦我運行在一個單獨的單元格中,它將轉換列表爲Pandas Series。 ----爲什麼雙行爲?請幫忙。 – user3631357