two data set
hi everyone,
i am trying to use two data set (training and testing) for applying a model. as my data is consisting of both text and structured attributes i divided it into two part (text and structured) and i stored both data separately. but when i am applying the model ( i need to use 3 model multiple regression, GBT and Neural Net) and i want to test the model with anothet data set which is test.data, i don't know how i can apply all processes to test data and check the model.
so, i used sub process operator and put all process are used for training data set and just sync it to apply model.
but i'm note sure i'm doing the write thing or not.
however i have to use both data set and i cannot use split operator instead.
can anyone help me with that?
i am trying to use two data set (training and testing) for applying a model. as my data is consisting of both text and structured attributes i divided it into two part (text and structured) and i stored both data separately. but when i am applying the model ( i need to use 3 model multiple regression, GBT and Neural Net) and i want to test the model with anothet data set which is test.data, i don't know how i can apply all processes to test data and check the model.
so, i used sub process operator and put all process are used for training data set and just sync it to apply model.
but i'm note sure i'm doing the write thing or not.
however i have to use both data set and i cannot use split operator instead.
can anyone help me with that?
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this is the path i'm following to use both training and testing data set
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Accepted Answer
I don't know how large your dataset is, but I would generally recommend using Cross Validation. In your process you are training your model on a single sample.
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Accepted Answer
I don't know how large your dataset is, but I would generally recommend using Cross Validation. In your process you are training your model on a single sample.
Can you share XML code? To access the code, you need to go to View --> Show Panel --> XML and copy that and paste it here.
Thanks