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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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Are there specific python libraries which we can use to generate audio files?
What is the noise that we provide in this case
Which external libraries are useful
Basic Research
Got to know that we have to use vectors to generate audio signals rather than tensors in case of images
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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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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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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?