Нейронная сеть Python: TypeError: Исключения должны происходить из базис ⇐ Python

[Anonymous]

Я хочу использовать Python для обучения моего случая нейронной сети, но я признаю проблему. />

Код: Выделить всё

@staticmethod
def colSpec(nparray: 'np.ndarray', rangeStr:str=None,batchStart:str=None, batchEnd:str=None)->'np.ndarray':
'''
Specify certain column data by selecting some columns or batched rows of data.   --- UPDATED (Dexter) 20181210

Parameters
------------------------------

nparray     `np.ndarray`   - Data table to be selected.

rangeStr    `str`   - Index range string for selecting certain columns for the transformation.

batchStart  `int`   - The starting index (inclusive) of the data rows.

batchEnd    `int`   - The ending index (exclusive) of the data rows.

Returns
------------------------------

`np.ndarray`   - Data table with requested selection range.
'''
# Convert to np array if it's not.
if not isinstance(nparray, np.ndarray):
if isinstance(nparray, list):
try:
nparray = np.array(nparray)
except:
raise ValueError("Data type not supported for colSpec. It should be an `np.ndarray` object.")
else:
raise ValueError("Data type not supported for colSpec. It should be an `np.ndarray` object.")

# If no column specification requested, just return the orginal array with batchStart and batchEnd rows.
if rangeStr is None:
return nparray[batchStart:batchEnd]

else:
colCount = len(nparray[0])

# Validate the index range range.
if (not IndexRange.validate(colCount, rangeStr)):
raise ValueError("Index range string is not valid.")

# Different scenarios on the column selections:
if ":" in rangeStr:
# Split the ":" to find the range start and end.
rangeInfo = [string.strip() for string in rangeStr.split(":")]

# None should be specified for 2-valued tuples.
if any([(ele == "None" or ele == "") for ele in rangeInfo]):
# Determine the scenarios for which None is used.
if rangeInfo[0] != "None" and len(rangeInfo[0]):
return nparray[batchStart:batchEnd,int(rangeInfo[0]):]
elif rangeInfo[1] != "None" and len(rangeInfo[1]):
return nparray[batchStart:batchEnd,:int(rangeInfo[1])]
else:
return nparray[batchStart:batchEnd]
else:
raise nparray[batchStart:batchEnd,int(rangeInfo[0]):int(rangeInfo[1])]

# Otherwise, it is specifying indexes explicitly.
else:
idxs = IndexRange.parse(colCount, rangeStr)
return nparray[batchStart:batchEnd,idxs]

Я не знаю, что не так, я даже не использую код исключений.

Подробнее здесь: https://stackoverflow.com/questions/676 ... eexception