The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.

PLSClassifier

A wrapper classifier for the PLSFilter, utilizing the PLSFilter's ability to perform predictions.

(based on WEKA 3.6)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Dialog Options

Class column
Choose the column that contains the target variable.
Preliminary Attribute Check

The Preliminary Attribute Check tests the underlying classifier against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.

Important: If a column is marked as 'incompatible', it does not necessarily mean that the classifier cannot be executed! Sometimes, the error message 'Cannot handle String class' simply means that no nominal values are available (yet). This may change during execution of the predecessor nodes.

Capabilities: [Numeric attributes, Date attributes, Missing values, Numeric class, Date class, Missing class values] Dependencies: [] min # Instance: 1

Classifier Options

filter: The PLS filter to use. Full classname of filter to include, followed by scheme options. (default: weka.filters.supervised.attribute.PLSFilter)

D: If set, classifier is run in debug mode and may output additional info to the console

:

D: Turns on output of debugging information.

C: The number of components to compute. (default: 20)

U: Updates the class attribute as well. (default: off)

M: Turns replacing of missing values on. (default: off)

A: The algorithm to use. (default: PLS1)

P: The type of preprocessing that is applied to the data. (default: center)

Ports

Input Ports
0 Training data
Output Ports
0 Trained classifier

Views

Weka Node View
Each Weka node provides a summary view that provides information about the classification. If the test data contains a class column, an evaluation is generated.
This node is contained in KNIME WEKA nodes provided by KNIME GmbH, Konstanz, Germany.