Adds artificial data to improve the learning quality using the SMOTE algorithm
Predictor for a dictionary-based text classifier for categorizing text documents.
Creates a Databricks Environment connected to an existing Databricks cluster.
Tools to manipulate SAM/BAM files
Executes queries on Xtract Universal against various SAP systems (e.g. SAP S/4HANA, SAP BW, SAP R/3) and loads the result into a KNIME data table.
Assigns named entity tags to terms. Suitable for English, German and Spanish texts.
Create a database connection to Microsoft SQL Server.
Assigns named entity tags to terms. Suitable for English, German and Spanish texts.
Create a Google Sheets connection.
Trains and generates a forecast with a (S)ARIMAX Model.
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.