Machine learning in trading: theory, models, practice and algo-trading - page 2781
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Is mutual information suitable for this?
https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html
It's between two series of random numbers. And it's between a nominal and a random.
What kind of programme is that? I don't need it.
One should take ONLY R, a specialised statistical system - a benchmark in the field of statistics.
What's better? This one or the one in scikit-learn?
https://minepy.readthedocs.io/en/latest/python.html
Both of you are fooling around.
Everything is written, in large numbers, thousands of users guarantee workability, excellent reference apparatus including theory.
Get the R packages.
It's between two rows of random numbers. And it's between a nominal and a random.
What kind of programme is this? I don't need it.
It is necessary to take ONLY R, a specialised system of statistics - a benchmark in the field of statistics.
Sanych, it's already marasmus creeping up unnoticed.
Don't get personal. Don't.
Don't get personal. You don't have to.
It's in the order of humour. R-users won't understand )
you cite some specific package, how it is better than the others and so on. There is only one way to calculate entropy and several variations on the theme, so everything works equally well
The letters in the code are similar
especially this is a link to a python package, which millions of users guarantee to work :D
r-users for some reason remind me very much of Scientologists or Jehovah's Witnesses, God forgive me.
r-users for some reason remind me very much of Scientologists or Jehovah's Witnesses, God forgive meGentlemen? )))
It's in the order of humour. R-users will not understand )
you cite some specific package, how it is better than the others and so on. There is only one way to calculate entropy and several variations on the theme, so everything works equally well
The letters in the code are similar
especially this is a link to a python package, which millions of users guarantee to work :D
r-users for some reason remind very much of Scientologists or Jehovah's Witnesses, God forgive me.Advertising should not be detached from reality, because it is not users in general that are interesting, but users-experts in statistics.
In two clicks I found on entropy
Entropy
and here is a package on the use of Information Theory
Earlier I named other packages on calculating teacher-predictor relationships.
r-users for some reason remind me very much of Scientologists or Jehovah's Witnesses, God forgive meDon't give me emotional labels.
I am not driven by love for R, but by elementary laziness, which allows me to solve my problems at minimal cost at almost the highest possible level. No blah, blah, concrete.
No need for emotional labelling.
I am not driven by love of R, but by basic laziness, which allows me to solve my problems at the lowest possible cost to almost the highest possible level. No blah blah, specifically.