Calculates the entropy uncertainty score of a class probability distribution. Input are rows containing class probabilities P = p1, p2, ..., pn that must sum up to 1. Output will be the normalized Shannon entropy . This is defined by E(P) = H(P) / log(n) with H(P) = - sum(p_i*log(p_i) for each i in 1,...,n. The logarithm with base 2 is used. The normalization leads always to values between 0 and 1. A uniform probability distribution (i.e., most uncertain as all probabilities are equal to each other) has an entropy value of 1. If one of the class probabilities is 1 and the others 0, the highest certainty is given and the entropy value will be 0.

- Column Selection
- Include the columns containing the class probabilities. The values must sum up to 1 for each data row.
- Output column name
- Set the name of the appended output column.
- Invalid Input Handling
- Specify the action if a data row of the input is invalid.
Invalid
could mean a missing value in
the input or
an
invalid distribution
(the
probabilities
must sum up to 1). If
*Fail*is selected, the node will fail. Otherwise, the node just gives a warning and puts missing values in the output for the corresponding rows.

- This node has no views

- 00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub
- 01_Active_Learning_PBCA_defaultKNIME Hub
- 01_Active_Learning_PBCA_defaultKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
- 01_Guided_Labeling_for_Document_ClassificationKNIME Hub
- Show all 13 workflows

- No links available

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.

To use this node in KNIME, install the extension KNIME Active Learning from the below update site following our NodePit Product and Node Installation Guide:

v5.2

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

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud
or on-premises – with our brand new **NodePit Runner**.

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, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.

**Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.**