我在Python上使用机器学习决策树连接到MySQL上的数据库,并且在代码中使用数据库中的值时遇到错误。 python上的代码接收与存储在MySQL中的UPC值匹配的输入,并输出与要在python中使用的匹配的行。在比较决策树功能之一中的值时出现错误,并且认为这是导致此错误的UPC值,因为它是长整数。有没有办法使行中的其他元素匹配而不带UPC值呢?我收到的错误消息可能不是由于这个原因,但是当将值导入决策树时,我也不想使用UPC列。
CARMLScursor = mydb.cursor()
print("Enter upc codes via scanner (type f to finish list): ")
try:
input_upc = []
while True:
input_upc.append(int(input()))
except:
print("Listed UPC input:", input_upc)
CARMLScursor.execute("use supermarket")
sqlFormula = "INSERT INTO user_input (Barcode) VALUES(%s)"
records = zip(input_upc)
CARMLScursor.executemany(sqlFormula, records)
mydb.commit()
SQL connection:
copy = "SELECT t1.* FROM items t1, user_input t2 WHERE (t1.UPC=t2.Barcode) " \
"GROUP BY t1.UPC, t1.Shelf, t1.Isle, t1.ItemName ORDER BY Isle ASC"
CARMLScursor.execute(copy)
result = [CARMLScursor.fetchall()]
for training_data in result:
print(training_data)
零件接收错误:
class Question:
def __init__(self, column, value):
self.column = column
self.value = value
def match(self, example):
# Compare the feature value in an example to the
# feature value in this question.
val = example[self.column + 2]
if is_numeric(val):
return val >= self.value
else:
return val == self.value
def __repr__(self):
# This is just a helper method to print
# the question in a readable format.
condition = "=="
if is_numeric(self.value):
condition = ">="
return "Is %s %s %s?" % (
header[self.column], condition, str(self.value))
q = Question(0, 'Cereal')
print(q)
example = training_data[0]
print(q.match(example))
def partition(rows, question):
true_rows, false_rows = [], []
for row in rows:
if question.match(row):
true_rows.append(row)
else:
false_rows.append(row)
return true_rows, false_rows
第116行,在比赛中返回val> = self.value TypeError:'int'和'str'的实例之间不支持'> ='
这显示了用作清单的表,其中已扫描的UPC与存储的UPC相匹配。还有一个名为user_input的表,其中存储了与项目表具有相同属性的扫描的UPC值。
|-------------------|--------------|------------|---------------|
| UPC | Shelf | Isle | ItemName |
|-------------------|--------------|------------|---------------|
| 123456789851 | C | 1 | Eggs |
|-------------------|--------------|------------|---------------|
| 123456789789 | A | 1 | Milk |
|-------------------|--------------|------------|---------------|
| 123456789765 | D | 2 | Coffee |
|-------------------|--------------|------------|---------------|
| 123456789582 | A | 5 | Apple Juice |
|-------------------|--------------|------------|---------------|
| 123456789542 | S | 2 | Cereal |
|-------------------|--------------|------------|---------------|