Machine learning in trading: theory, models, practice and algo-trading - page 2477
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If you are interested, here is a script for balancing classes when solving a classification problem.
The balancing is based on resampling the original sample using Gaussian mixture model. I advise to use it, because in local datasets the class labels are rarely balanced.
Saves a lot of time and nerves.
If you are interested, here is a script for balancing classes when solving a classification problem.
The balancing is based on resampling the original sample using Gaussian mixture model. I advise to use it, because in local datasets the class labels are rarely balanced.
Saves a lot of time and nerves.
Aren't there standard bibbles in python for this?
Aren't there any standard libraries in Python for this?
Probably, there are such libraries, but I haven't come across them.
If you are interested, here is a script for balancing classes when solving a classification problem.
The balancing is based on resampling the original sample using Gaussian mixture model. I advise to use it, because in local datasets the class labels are rarely balanced.
Saves a lot of time and nerves.
I think you need to specify that, when solving classification problems with neural networks.
Forests and boostings don't require balancing.
Probably there are such libraries, but I haven't come across any.
I see... It's just that R-ka has a lot of stuff for MO, and python is positioned as a language for MO, and it has nothing but 2-3 unlocked libraries.
It's kind of confusing(!
I think it should be specified that, when solving classification problems with neural networks.
Forests and boostings do not require balancing.
Perhaps.
I see... It's just that R-ka has a lot of stuff for MO, and python is positioned as a language for MO, and there is nothing in it except for 2-3 unlocked binaries.
It's not clear at all(!
I`m not familiar with R, I`m an MO major and I`m just at the beginning of my despair gorge with Daning-Krueger.
Aren't there standard bibbles in python for this?
If you are interested, here is a script for balancing classes when solving a classification problem.
The balancing is based on resampling the original sample using Gaussian mixture model. I advise to use it, because in local datasets the class labels are rarely balanced.
Saves a lot of time and nerves.
the beginning of the journey into the gorge of despair