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如何选择机器学习算法 - 大数据 & AI - 清泛网 - 专注C++内核技术
...here you have class A at the low end of some feature x, class B in the mid-range of feature x, and A again at the high end). One disadvantage is that they don’t support online learning, so you have to rebuild your tree when new examples come on. Another disadvantage is that they easily overfit...
Storing sex (gender) in database
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I'd call the column "gender".
Data Type Bytes Taken Number/Range of Values
------------------------------------------------
TinyINT 1 255 (zero to 255)
INT 4 - 2,147,483,648 to 2,147,483,647
BIT 1 (2 if 9+ columns) 2 (0 and 1)
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Working with huge files in VIM
...ould like to edit:
grep -n 'something' HUGEFILE | head -n 1
Extract that range of the file. Say the lines you want to edit are at line 4 and 5. Then do:
sed -n -e '4,5p' -e '5q' HUGEFILE > SMALLPART
The -n option is required to suppress the default behaviour of sed to print everything
4,5p ...
ValueError: setting an array element with a sequence
...ay element
numpy.mean([5,(6+7)]) #good
numpy.mean([5,tuple(range(2))]) #Fail, can't convert a tuple into a numpy
#array element
def foo():
return 3
numpy.array([2, foo()]) #good
def foo():
return [3,4]
numpy.array([2, foo(...
Is there a way to ignore a single FindBugs warning?
...he annotation directly above the offending code
@SuppressWarnings("OUT_OF_RANGE_ARRAY_INDEX")
See here for more info: findbugs Spring Annotation
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How do I read CSV data into a record array in NumPy?
...rror: 'ascii' codec can't decode byte 0xc3 in position 155: ordinal not in range(128). I have umlauts such as ä and ö in the input data.
– hhh
Jun 18 '17 at 12:00
2
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JavaScript % (modulo) gives a negative result for negative numbers
...e to change the behaviour of the remainder operator, it would break a good range of programs using it. That's never going to happen.
– Aegis
Feb 2 '16 at 23:16
11
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Find the most frequent number in a numpy vector
...rray as large as the largest element in arr, so a small array with a large range would create an excessively large array. Apoengtus's answer below is much better, although I don't think numpy.unique() existed in 2011, when this answer was created.
– Wehrdo
Mar ...
Remove an entire column from a data.frame in R
... columns named in one_of()
select(-(name:hair_color)) %>% # the range of columns from 'name' to 'hair_color'
select(-contains('color')) %>% # any column name that contains 'color'
select(-starts_with('bi')) %>% # any column name that starts with 'bi'
select(-ends_w...
How many random elements before MD5 produces collisions?
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A rough rule of thumb for collisions is the square-root of the range of values. Your MD5 sig is presumably 128 bits long, so you're going to be likely to see collisions above and beyond 2^64 images.
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