Same answer as your other question question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so there should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so there should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so there should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so theirthere should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so their should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so there should be some interface for that too.
Same answer as your other question.
You should have some class to load (and contain) the original data; some Normalizer interface (you might have many different classes that implement different normalizations); some Classifier interface; you are training something, so that something should be a class with a train(?,...) method. And then again, there are probably many ways to train it, so their should be some interface for that too.