What is Sliding Window Algorithm? Examples? - Stack Overflow
The Sliding window is a problem-solving technique for problems that involve arrays/lists. These problems are easy to solve using a brute force approach in O(n^2) or O(n^3). Using the 'sliding window' technique, we can reduce the time complexity to O(n).
python - Rolling or sliding window iterator? - Stack Overflow
def sliding_window(image, stepSize, windowSize): # slide a window across the image for y in xrange(0 ...
Forecasting model predict one day ahead - sliding window
2017年5月2日 · If your data size is 14440 or more. I chose a window of 24 (it contains 24 x values). Then for first iteration I take the window 24 and predict the 25th value. The 25th value will be assume my target. After this I shift my window and drop first value from the window while adding 25th value , and I predict the 26th value.
Sliding window for long text in BERT for Question Answering
2020年7月19日 · I think there is a problem with the examples you pick. Both squad_convert_examples_to_features and squad_convert_example_to_features have a sliding window approach implemented because squad_convert_examples_to_features is just a parallelization wrapper for squad_convert_example_to_features. But let's look at the single …
Sliding window in Python - Stack Overflow
2015年12月2日 · Also see Rolling or sliding window iterator in Python. The first result is in 'round brackets' because it is a tuple. If you wanted a list instead, use list() rather than tuple() in your code.
streaming - Sliding Vs Tumbling Windows - Stack Overflow
2018年12月2日 · A Sliding or hopping window represents a consistent time interval in the data stream. Sliding windows can overlap, whereas tumbling windows are disjoint. For example, a sliding window can start every thirty seconds and capture one minute of data. The frequency with which sliding windows begin is called the period. This example has a one-minute ...
Speed up distance calculations, sliding window - Stack Overflow
Different approach is possible, to create matrix of B sliding windows and make norm on that whole array, since norm() receives parameter axis. Here is implementation of that approach, but speed-up is ~40x, which is slower than previous.
javascript - Sliding Window Pattern - Stack Overflow
2022年9月21日 · You know that to figure out the next value you subtract the first item outside the window from the sum, and then add the last item inside the window to the sum. The window is num elements wide. If i is the position of the end of the window, the position of the element to subtract is num elements before that.
c++ - How to circle sliding window? - Stack Overflow
2022年12月21日 · sliding(n) takes a range and forms a view that is a range of subranges of n elements, each starting in consecutive positions of the original range. take(n) takes exactly n elements from a given range.
python - PySpark : Do a simple sliding window on n elements and ...
2020年6月24日 · I know this subject is already posted but I still don't understand the windows function in pyspark. I just want to do this on a pyspsark dataframe : data.rolling(5).agg('sum') -> this is in Pand...