Machine learning in trading: theory, models, practice and algo-trading - page 3650

You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
I think people confuse the generalisation ability of NS with extrapolation. Extrapolation implies going beyond the boundaries of the training set and as a consequence either poor results or no results at all (depends on the type of NS). Generalisation implies good performance of the network on new data, but which do not go beyond the boundaries of the training set.
I think people confuse the generalisation ability of NS with extrapolation. Extrapolation implies going beyond the boundaries of the training set and as a consequence either poor results or no results at all (depends on the type of NS). Generalisation implies good performance of the network on new data, but which do not go beyond the boundaries of the training set.
Exactly
Accordingly, the very idea of extrapolation of NS functions is meaningless.
Wait, then how to teach NS to calculator?
I gave Dick a link to a simple tree training code. If he had spent 20 minutes to study it, he would not have written here for 4 days his fantasies about extrapolation to MO.
Well, he obviously came here to troll....
But it turns out that the regulars of this thread haven't seen the code either.
I'll explain in a very simple way. There was an example of teaching a forest the multiplication table from 1 to 9. Using his example:
If you trained up to 9*9 at most, the corresponding leaf will always answer 81. And at queries 10*9 and 9*10 and 11*20 and even 1000*2000 the answer will always be 81. There are no leaves with answers 90,100,220, 2000000.What extrapolation? The answers will only be from 1 to 81.
That's some rubbish you've written, Forester.
I don't need your links if I've written these algorithms myself, I can't count how many.))
You do not understand some things, fundamental, do not understand the scope of applicability of MO methods. I can't help you, it's too much to explain, it's expensive.
Well, try extrapolating a series of natural numbers with a neural net ) boosts are even worse at it.
It's easier just with your finger on the asphalt.
Wait, then how do you teach NS to calculate?
It's easier just to put your finger on the pavement.
Will there be anything other than blathering and titty-making?)
Yeah, there will be.
Let's make a deal. I will show you the open source code here, not in some python, but the whole source code in MQL5. After that, if I solve the problem, you will never cross my path again. True, in this case you will be a blabbermouth. But it's still a good deal for you, because otherwise it turns out that you can't solve the simplest task.
Are you going to refuse the deal or accept it?
Yes, it will.
Let's make a deal. I will show you the open source code here, not in some python, but the entire source code in MQL5. After that, if I solve the problem, you will never cross my path again. True, in this case you will be a blabbermouth. But it is still a good deal for you, because otherwise it turns out that you cannot solve the simplest task.
Are you going to refuse the deal or accept it?