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One of the questions I get asked again and again is how to validate a field value in an Acro Form with a custom validation script.
Adobe provided a lot of infrastructure to do that with just a simple script.
Another thing I like to do is to display the validation error message on the form in an otherwise hidden field: The problem with our last solution is that if the user saves a partially filled form, and picks it up at a later time, that error message that popped up is long gone, and the only indication that there is something wrong with the form is the modified field color.
So, having a text field contain that error message might be a good idea.
Let’s take a look at how to do that with a text field that is only supposed to have a value of either ‘AAAA’ or ‘BBBB’ (yes, I know that this does not make much sense in a real PDF form).
So, if the user enters ‘01234’ we should see an error message that would instruct the user about what type of data is valid for this field.
Selecting relevant features and deciding how to encode them for a learning method can have an enormous impact on the learning method's ability to extract a good model.Pairs of feature sets and labels are fed into the machine learning algorithm to generate a model.(b) During prediction, the same feature extractor is used to convert unseen inputs to feature sets.These feature sets are then fed into the model, which generates predicted labels.In the rest of this section, we will look at how classifiers can be employed to solve a wide variety of tasks.
For example, in multi-class classification, each instance may be assigned multiple labels; in open-class classification, the set of labels is not defined in advance; and in sequence classification, a list of inputs are jointly classified.