0 ×

Numeric Outliers (Apply)

StreamableKNIME Statistic Nodes version 4.2.1.v202008251159 by KNIME AG, Zurich, Switzerland

This node treats outliers in the input data according to the parameters of the model input (typically coming from the Numeric Outliers node). It detects and treats the outliers of all columns in the input data that are also contained in the model input. The detection of the outliers in the input data relies solely on the rules learned by the model.

If required, the node automatically updates the domain of the outlier columns as defined by the input model. Given the case that the node is executed in streaming mode no domain updates will be performed.

Note that all observations belonging to groups not seen by the model will be considered non-outliers.

Input Ports

Icon
Model holding the permitted interval bounds for each outlier group and the outlier treatment specifications
Icon
Numeric input data to evaluate

Output Ports

Icon
Data table where outliers were either replaced or rows containing outliers/non-outliers were removed
Icon
Data table holding the number of members, i.e., non-missing values and outliers as well as the lower and upper bound for each outlier groups

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Statistics Nodes from the following update site:

KNIME 4.2

A zipped version of the software site can be downloaded here.

You don't know what to do with this link? Read our NodePit Product and Node Installation Guide that explains you in detail how to install nodes to your KNIME Analytics Platform.

Wait a sec! You want to explore and install nodes even faster? We highly recommend our NodePit for KNIME extension for your KNIME Analytics Platform. Browse NodePit from within KNIME, install nodes with just one click and share your workflows with NodePit Space.

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.