Active Branch Inverter
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.
- Type: Flowvariable Active or inactive input
- Type: Flowvariable A flow variable port. It will be active only if the input is inactive.
Restful GeolocationeducationThis 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
Guided AutomationautoML guided analytics automated machine learning guided automation feature engineering parameter optimization hyperparameter hyper-parameter optimization feature selection WebPortal application web app machine learningThis workflow generates a fully automated web based application to select, train, test, and optimize a number of machine…dhruvp758 > Public > 01_Guided_Analytics_for_ML_Automation
Sending a file via EMailThis 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
Guided Labeling for Document Classificationactive 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 highlitingThis 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
Techniques for Dimensionality ReductionETL big data data preprocessing performance accuracy classification dimensionality reduction LDA auto-encoder t-SNE PCA backward feature elimination forward feature selection feature selectionThis 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
04_RESTful_Geolocationknime > Education > 01 KNIME User Training > Supplementary Workflows > 04_RESTful_Geolocation
Guided AutomationautoML guided analytics automated machine learning guided automation feature engineering parameter optimization hyperparameter hyper-parameter optimization feature selection WebPortal application web app machine learningThis 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