Creates a naive Bayes model from the given classified data.
Detects anomalies/outliers in incoming Snowflake connection according to a MOJO.
Converts PMML RuleSets (with firstHit) to table containing the rules.
Removes rows from the input data set such that the values in a categorical column are equally distributed.
Train a Word2Vec model using documents.
Creates a naive Bayes model from the given classified data.
Reads a XML File.
Detects anomalies/outliers in incoming Spark DataFrame/RDD according to a MOJO.
Delete files and folders on a remote location.
Process the input data using an external application.
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.