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Say I have a 2D point (a,b) and a line defined as y = mx + c (any alternative parameterization is fine). I would like to find the point that is symemtric to (a,b) w.r.t. to the this line.
Are there any libraries in Python that can help with this type of transformations?
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Please suggest JProfiler equivalent for Python 3+.
The key need is the visualization of methods invocation stack with cumulative time duration (aim is performance optimization)
There is an ideal example of a visualization that I'm looking for:
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I'm using Vader in Python to perform sentiment analysis. Is there a way to analyze different languages than English (I need French in this case)
If yes, how do I do it, or what do I need?
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Is there an analog for Python sklearn.ensemble.GradientBoostingClassifier in R language?
I know there are R packages for gradient boosting: gbm, mboost, TDboost, gbev, bst, etc.
But which one package, which function and with what parameters I should use to get same results, as with GradientBoostingClassifier in Python using default parameters?
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I have this optimization problem and I wonder any function in any python library can solve it? Say I want to minimize f(x) by gradient descent. x is a vector of say 3 dimensions, x=(x1,x2,x3). The constraint is x1>0, x2>0, x3>0, and x1+x2+x3=1. Any function can solve this constrained gradient descent? Thank you.
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I'm looking for a library, service, or code suggestions to turn spelled out numbers and amounts (eg. "thirty five dollars and fifteen cents", "one point five") into numerics ($35.15, 1.5) . Suggestions?
I wrote some code to do this for integers a while ago: http://github.com/ghewgill/text2num
Feel free to fork and hack.