All Questions
7 questions
0
votes
1
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198
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SLOW conversion of strings to floats in Python - ways to speed this up?
Summary of Problem
I have a data set supplied to me which has geographic coordinates provided as strings with leading spaces and spaces between the positive/negative signs and the numbers. The data ...
2
votes
1
answer
2k
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Problem minimizing a constrained function in Python with scipy.optimize.minimize
I'm trying to minimize a constrained function of several variables adopting the algorithm scipy.optimize.minimize. The function concerns the minimization of 3*N parameters, where Nis an input. More ...
4
votes
4
answers
522
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Fast way to find all vectors similar to a given one
By "similar vector" I define a vector that differs from a given one at just one position by either -1 or 1. However, if the element of the given one is zero, only difference by 1 is possible. Examples:...
1
vote
0
answers
294
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Python Sklearn - Multidimensional Parameter Optimization
I am not too convinced by the parameter optimization classes sklearn provides, in fact GridSearchCV (http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html#sklearn....
0
votes
1
answer
540
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TFlearn/ Tensorflow way slower than expected
I am working on an engineering problem about numerical optimization. Usually I used metamodel approaches like Kriging - but now I want to try the new popular stuff.
The data here is showing a machine ...
18
votes
4
answers
31k
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how to find global minimum in python optimization with bounds?
I have a Python function with 64 variables, and I tried to optimise it using L-BFGS-B method in the minimise function, however this method have quite a strong dependence on the initial guess, and ...
1
vote
2
answers
1k
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How to improve my performance in filling gaps in time series and data lists with Python
I'm having a time series data sets comprising of 10 Hz data over several years. For one year my data has around 3.1*10^8 rows of data (each row has a time stamp and 8 float values). My data has gaps ...