"Write filters to disk"
The operator ModelGrouper is a convenient solution if some preprocessing and predictions models must be
simultaneously written to disk. A data mining process also often contains some filters like the
"FeatureNameFilter" operator which are however not written to disk when the ModelWriter is used.
In the following code, is there a way to also dump the "FeatureNameFilter" into a file such that the complete
process can be later read in and be applied on unseen data?
simultaneously written to disk. A data mining process also often contains some filters like the
"FeatureNameFilter" operator which are however not written to disk when the ModelWriter is used.
In the following code, is there a way to also dump the "FeatureNameFilter" into a file such that the complete
process can be later read in and be applied on unseen data?
<参数键= " attributes_upper_bound" value="10.0"/>
> < /过程
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Answers
this unfortunately is not possible. You still have to design a process for application. But you could use a trick for simplifying this:
If you store all the preprocessing stuff in a single process, you might load and apply it in both the training process as well as in the apply process using the process embedder. Then this process behaves like a modell itself.
Greetings,
Sebastian