Machine learning in trading: theory, models, practice and algo-trading - page 874

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How do we know if they fit? Do you work with NS (neural networks)?
And if not, what do you do? And that would be closer to the topic of MO).
I in the process of preparation, so to speak, I want to target normalize and give them an estimate - very bad - complete crap, average - ok, very good - as garbage (for rarity).
I'm in the process of preparing, so to speak, I want to normalize the targets and give them a grade - very bad - complete crap, average - okay, very good - the same nonsense (because rare).
So what do you do? What is your field?
In which state should I look for them and check if they fit? I don't have the knowledge - stupid, so I'm asking the smart ones.
http://www.flong.com/texts/code/shapers_exp/
You need a Logistic Sigmoid (at the very bottom of the page)
substitute your data normalized from 0 to 1 into the function.
So what do you do? Area?
I am fantasizing - the night before last I invented a method for selecting (evaluating) predictors (for me it is the calculation of filters), and I want to try it out.
In addition to natural indicators, I want to use some evaluation coefficients - what will be better - do not know yet. May be nothing and I am delirious, but I will check...
http://www.flong.com/texts/code/shapers_exp/
You need a Logistic Sigmoid (at the bottom of the page)
In this function, you put your data normalized from 0 to 1.
Thanks - I'll look into it!
What do you do with it?
And what to do next with it?
I don't know, you could file an NS
need to do for the ticks yet
I don't know, you can file it in the NS.
we need to do for the ticks.
I see...
Well, what was the original purpose / idea?
I see...
Well, what was the original goal/concept?
Well, the sifting of the flows that Alesandre wrote about
to achieve a Poisson distribution of returns or something
well, sifting the flows that Alesander wrote about
achieve a Poisson distribution of returns or something like that
Actually, that's a load of crap.
To understand it, all you have to do is ask the question "Why?" and try to give a reasonable answer to it.