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Classification Model training Testing Training
  1. Component
    AutoML
    This Component automatically trains supervised machine learning models for both binary and multiclass classification. The compone…
    knime > Examples > 00_Components > Automation > AutoML
    37
  2. Component
    Translator
    This Component uses Google Translate to translate any input text from/to supported languages. This component is supposed to run o…
    armingrudd > Public > Components > Translator
    22
  3. Component
    GUID Generator
    A Globally Unique Identifier (GUID) generator for KNIME. This component is useful for creating a unique key that is not based on …
    sjporter > Public > GUID Generator
    21
  4. Component
    Text Preprocessing
    The Text Preprocessing component uses extremely fast regex-based text processing to remove specific types of characters from a St…
    sjporter > Public > Text Preprocessing
    19
  5. Component
    Optimized K-Means (Silhouette Coefficient)
    This component determines the best number of clusters (k) for k-Means according to the mean silhouette coefficient. The component…
    knime > Examples > 00_Components > Automation > Optimized K-Means (Silhouette Coefficient)
    17
  6. Component
    XAI View
    In order to decipher the decision making process of a black-box model you can use the eXplainable Artificial Intelligence (XAI) v…
    knime > Examples > 00_Components > Model Interpretability > XAI View
    16
  7. Component
    Interactive Column Filter
    This Component creates an interactive view to filter and select columns for your model based on the relevance of the columns to t…
    knime > Examples > 00_Components > Guided Analytics > Interactive Column Filter
    14
  8. Component
    ARIMA Learner
    Trains an AutoRegressive Integrated Moving Average (ARIMA) model. ARIMA model captures temporal structures in time series data in…
    knime > Examples > 00_Components > Time Series > ARIMA Learner
    14
  9. Component
    Analyze Workflow Summary
    This component extracts information from a workflow summary XML file that can be obtained from either the File > Export > Workflo…
    knime > Examples > 00_Components > Automation > Analyze Workflow Summary
    14
  10. Component
    Global Thresholder (multi)
    Threshold a column of images using different thresholding algorithms. Each selected algorithm yields an additional column of bina…
    l.thomas > Public > Global Thresholder (multi)
    11
  11. Component
    Model Monitor View
    This Component generates a view monitoring the performance of a model captured by Integrated Deployment. The view works for machi…
    knime > Examples > 00_Components > Guided Analytics > Model Monitor View
    11
  12. Component
    Cell Segmentation with Cellpose
    Run Cellpose (https://www.cellpose.org/) segmentation on the input image. This node allows to apply one of the pretrained models …
    imagejan > fmi-basel > components > Cell Segmentation with Cellpose
    11
  13. Component
    Variance Inflation Factor (VIF) filter
    This component implements a backward elimination process to remove collinear variables in a regression. It calculates Variance In…
    adm > Public > Components > Variance Inflation Factor (VIF) filter
    11
  14. Component
    Row Count
    Return the number of rows in the input data table as a flow variable. The flow variable name can be specified in configuration. T…
    takbb > Public > Row Count
    10
  15. Component
    Variance Inflation Factor (VIF)
    This component calculates Variance Inflation Factor (VIF) across all numeric variables in the input data table. It can be used to…
    adm > Public > Components > Variance Inflation Factor (VIF)
    9
  16. Component
    Principal Components Analysis with R
    This component works with R and uses the psych package to estimate a PCA model on the columns selected in the configuration dialo…
    francescots > Public > Principal Components Analysis with R
    8
  17. Component
    Drivetime and Distance Query - Latitude Longitude
    This component allows you to query the Tom Tom API for trip distance and duration information. Expected inputs (coordinates in de…
    tosinlitics > Public > Drivetime and Distance Query - Latitude Longitude
    8
  18. Component
    Autofeat Apply
    Takes as input 'autofeat' model (or a model created by Autofeat Generator) and KNIME DataFrame. Output of the component is a data…
    ashokharnal > Collection of Components and Workflows > feature-generation > Autofeat Apply
    7
  19. Component
    Find Group By Name And Generate Roster
    This node lets you search for a specific AD group and pull back it's roster. The top data out port includes the group data and th…
    johndenham > Graph API Nodes > Find Group By Name And Generate Roster
    7
  20. Component
    Copy or Move column headers to first row
    Copies or moves the column headers of a table to the first row Author: @bruno29a
    bruno29a > Public > Shared Library > Misc > Copy or Move column headers to first row
    7