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Can anyone refer me to a more clarified ML Library documentation ? As I am confused now and can't get a real description of methods such as : Train , Predict. One more thing I saw many times those train flags such as : Update weights , No input scale but the only definition I can see for train is that : public boolean train(Mat samples, int layout, Mat responses) {

    boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);

    return retVal;
}

this is from StatModel and I couldn't use those train flags , So What Can I do if anyone can help ?

Can anyone refer me to a more clarified ML Library documentation ? As I am confused now and can't get a real description of methods such as : Train , Predict. One more thing I saw many times those train flags such as : Update weights , No input scale but the only definition I can see for train is that : public boolean train(Mat samples, int layout, Mat responses) {

    boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);

    return retVal;
}

this is from StatModel and I couldn't use those train flags , So What Can I do if anyone can help ?

Can anyone refer me to a more clarified clear ML Library documentation ? As I am confused now and can't get a real description of methods such as : Train , and Predict. One more thing that I saw many times those train flags such as : Update weights , and No input scale but I can't use them as the only definition I can see for train is that this : public boolean train(Mat samples, int layout, Mat responses) {

    boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);

    return retVal;
}

So I want to know : 1 - Do I need to use train method in a for loop to update weights or I just use it once and it will perform what I need ? 2 - Does predict method returns the class label ? 3 - What is this definition of predict where it takes 3 parameters (Mat Test_Data , Mat Responses(output) , int Flags) and what is from StatModel and I couldn't use those train flags , So What Can I do if anyone this Flags parameter ? 4 - How can help I update weights during training or function train performs it ?

Can anyone refer me to a more clear ML Library documentation ? As I am confused now and can't get a real description of methods such as : Train and Predict. One more thing that I saw many times those train flags such as : Update weights and No input scale but I can't use them as the only definition I can see for train is this : :

public  boolean train(Mat samples, int layout, Mat responses)
    {
 
{

        boolean retVal = train_0(nativeObj, samples.nativeObj, layout, responses.nativeObj);

     return retVal;
 }
 
So I want to know :
1 - :
 
 
Do I need to use train method in a for loop to update weights or I just use it once and it will perform what I        need ?
2 - ?
 
Does predict method returns the class label ?
3 - ?
 
What is this definition of predict where it takes 3 parameters (Mat Test_Data , Mat Responses(output) , int 
  Flags) and what is this Flags parameter ?
4 - ?
 
How can I update weights during training or function train performs it ?