Adds a column with moving average values.
Creates a document vector for each document using a hash function.
Reads a database query/table into a Spark RDD/DataFrame
Aggregate columns.
Applies regression to input data, based on a previously learned Spark ML regression model.
Classifies input data based on a previously learned Spark ML classification model.
Apply a Generalized Low Rank Model (GLRM) using H2O.
Learns a tree based XGBoost model.
Learns a tree based XGBoost model for regression.
Learns a tree based XGBoost 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.