Performs sentiment analysis on sentences of a document by using the Amazon Comprehend service.
Splits cells in one column of the table at fixed positions into separate columns.
Assigns part-of-speech tags to terms by calling the AWS Comprehend service.
Writes an R model to a (zip) file.
Builds and learns an MLP with resilient backpropagation.
Computes a modified docking score based on the number of poses within each energy well.
Calculates differences between two date&time values.
Creates a folder upon execute and exposes its path as flow variable.
Modifies the input SQL query from a incoming database connection.
The input table is split into two partitions (i.e. row-wise), e.g. train and test data.
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.