NodeActive Branch Inverter

Manipulator

Inverts status of a branch: inactive becomes active and vice versa. This is useful in conjunction with "Try"/"Catch" nodes when certain workflow branches (usually the "fail" branch) should only be executed when the main workflow branch ran into an error.

Input Ports

  1. Port Type: Flowvariable
    Active or inactive input

Output Ports

  1. Port Type: Flowvariable
    A flow variable port. It will be active only if the input is inactive.

  1. Restful Geolocation

    education
    This workflow associates latitude and longitude coordinates to each IP address in a list of 50 (fake) IP addresses. The …
    knime > Education > 02 KNIME Text Mining Course > Supplementary Workflows > RESTful Geolocation

  2. Guided Labeling for Document Classification

    active learning human-in-the-loop guided analytics document classification sentiment analysis topic detection tag cloud topic active learning uncertainty entropy sampling uncertainty sampling movie reviews highliting
    This workflow defines a fully automated web based application that will label your data using active learning. The workf…
    knime > Examples > 50_Applications > 57_Guided_Labeling > 01_Guided_Labeling_for_Document_Classification

  3. Sending a file via EMail

    This workflow demos how a file can be upload to the KNIME Server and send via EMail. There are multiple sanity checks in…
    knime > Examples > 09_Enterprise > 02_WebPortal > 04_Read_file_send_as_EMail

  4. Techniques for Dimensionality Reduction

    ETL big data data preprocessing performance accuracy classification dimensionality reduction LDA auto-encoder t-SNE PCA backward feature elimination forward feature selection feature selection
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techni…
    aajaradata > 02_Techniques_for_Dimensionality_Reduction

  5. Techniques for Dimensionality Reduction

    ETL big data data preprocessing performance accuracy classification dimensionality reduction LDA auto-encoder t-SNE PCA backward feature elimination forward feature selection feature selection
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techni…
    knime > Examples > 04_Analytics > 01_Preprocessing > 02_Techniques_for_Dimensionality_Reduction > 02_Techniques_for_Dimensionality_Reduction

  6. 04_RESTful_Geolocation

    knime > Education > 01 KNIME User Training > Supplementary Workflows > 04_RESTful_Geolocation

  7. Guided Automation

    autoML guided analytics automated machine learning guided automation feature engineering parameter optimization hyperparameter hyper-parameter optimization feature selection WebPortal application web app machine learning
    This workflow generates a fully automated web based application to select, train, test, and optimize a number of machine…
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation