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Why does one hot encoding improve machine learning performance?
...oticed that when One Hot encoding is used on a particular data set (a matrix) and used as training data for learning algorithms, it gives significantly better results with respect to prediction accuracy, compared to using the original matrix itself as training data. How does this performance increas...
Can't escape the backslash with regex?
I'm using the following regex
5 Answers
5
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C# List of objects, how do I get the sum of a property
... answered Dec 4 '10 at 4:11
Alex LEAlex LE
17.1k44 gold badges2626 silver badges2828 bronze badges
...
Changes in import statement python3
... relative to the current script/package.
Consider the following tree for example:
mypkg
├── base.py
└── derived.py
Now, your derived.py requires something from base.py. In Python 2, you could do it like this (in derived.py):
from base import BaseThing
Python 3 no longer supports t...
Passing arguments forward to another javascript function
...n copy it into an array then manipulate that before passing it along, for example: var copy = [].slice.call(arguments); <remove what you want> myFunc.apply(this, copy);
– Nick Craver♦
Feb 17 '12 at 11:18
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How is Python's List Implemented?
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It's a dynamic array. Practical proof: Indexing takes (of course with extremely small differences (0.0013 µsecs!)) the same time regardless of index:
...>python -m timeit --setup="x = [None]*1000" "x[500]"
10000000 loops, best of 3: 0.0579 usec per loop
...>p...
Descending order by date filter in AngularJs
...to documentation you can use the reverse argument.
filter:orderBy(array, expression[, reverse]);
Change your filter to:
orderBy: 'created_at':true
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How do I get the height and width of the Android Navigation Bar programmatically?
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Try below code:
Resources resources = context.getResources();
int resourceId = resources.getIdentifier("navigation_bar_height", "dimen", "android");
if (resourceId > 0) {
return resources.getDimensionPixelSize(resourceId);
}
return 0;
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python pandas: Remove duplicates by columns A, keeping the row with the highest value in column B
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This takes the last. Not the maximum though:
In [10]: df.drop_duplicates(subset='A', keep="last")
Out[10]:
A B
1 1 20
3 2 40
4 3 10
You can do also something like:
In [12]: df.groupby('A', group_keys=False).apply(lambda x: x.loc[x.B.idxmax(...
Post JSON using Python Requests
... 'User-Agent': 'python-requests/2.4.3 CPython/3.4.0',
'X-Request-Id': 'xx-xx-xx'},
'json': {'key': 'value'},
'origin': 'x.x.x.x',
'url': 'http://httpbin.org/post'}
EDIT: This feature has been added to the official documentation. You can view it here: Requests documentation
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