Decision tree induction performed in Spark.
PUT REST client
Receives an external file (e.g. provided via an upload) and exposes it via a flow variable.
Select an Azure OpenAI embedding model.
Reads the body, headers, and the query string from an HTTP request calling the workflow and outputs it in 3 different tables.
Classifier for building 'Functional trees', which are classification trees that could have logistic regression functions at the inner nodes and/or leaves
Allows to split rows into two tables based on complex queries defined on multiple columns.
The String Cleaner provides tools for basic string cleaning
Displays a bar chart for all ready grouped columns with nominal values. You can use the GroupBy-Node to gain the required columns.
Marks the end of a to be captured workflow segment.
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.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.