Actually Using my First Model?
WindsAloft
New Altair Community Member
I've successfully build my first model, which is able to classify/categorize records in a database based on text mining the comments field. My model gives me a high degree of accuracy - but how do I actually implement this to future (unknown category) records?
Can I save the model so that it doesn't have to re-read the training set every single time before trying to predict? Also on my output, I'm unable to pass the primary key from the source to the results - obviously the primary key isn't used in the algorithm so it whines when I try to pass through a column that isn't actually used anywhere in the model.
Perhaps if theres a single example I could look at - that shows end to end how you can use a dataset to train/validate and then pass a new, completely unknown dataset through the process and output the original dataset (all column) + the predicted column.
Can I save the model so that it doesn't have to re-read the training set every single time before trying to predict? Also on my output, I'm unable to pass the primary key from the source to the results - obviously the primary key isn't used in the algorithm so it whines when I try to pass through a column that isn't actually used anywhere in the model.
Perhaps if theres a single example I could look at - that shows end to end how you can use a dataset to train/validate and then pass a new, completely unknown dataset through the process and output the original dataset (all column) + the predicted column.
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