This directory contains 8 workflows.
Init. This workflow will be the first one executed by the model factory. The workflow can be skipped by using the default workflow as provided here. […]
Load. This workflow will be the second one executed by the model factory. The workflow can be skipped by using the default workflow as provided here. […]
Transform. This workflow will be the third one executed by the model factory. Here you can do data transformations. You also have to decide what is your […]
Learn. This workflow is used for learning the model. It will get the input file as prepared by loading and transformation and output the path to the learned […]
Score. This workflow will score the test data using the provided test data set. Input: The input of the node contains the path to the test data […]
Evaluate. This workflow will be always be executed after the score workflow. In case you don't want to have a dedicated evaluation workflow, you can skip […]
Evaluate. In case you don't want to have a dedicated evaluation workflow, you can use this workflow instelad. However, please make sure that the SCORE […]
Deploy. This last workflow is used for deploying the model. It will only be called when a new model is learned and should be deployed. It is not mandatory. […]
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.