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1 326 results

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Classification Model training Testing Training
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    Component
    AutoML
    This Component automatically trains supervised machine learning models for both binary and multiclass classification. The compone…
    knime > Examples > 00_Components > Automation > AutoML
    42
    knime
  2. Go to item
    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
    26
    armingrudd
  3. Go to item
    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
    sjporter
  4. Go to item
    Component
    The Machine Learning Canvas in KNIME
    Why Use The MACHINE LEARNING CANVAS? - REFINE IDEAS: Describe how your ML system will turn predictions into value for end-users, …
    ali_alkan > Data and Analytics Strategy for Business > The Machine Learning Canvas in KNIME
    20
    ali_alkan
  5. Go to item
    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
    sjporter
  6. Go to item
    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
    17
    knime
  7. Go to item
    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
    knime
  8. Go to item
    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
    15
    knime
  9. Go to item
    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
    15
    knime
  10. Go to item
    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
    knime
  11. Go to item
    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
    l.thomas
  12. Go to item
    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
    adm
  13. Go to item
    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
    imagejan
  14. Go to item
    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
    knime
  15. Go to item
    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
    takbb
  16. Go to item
    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
    9
    tosinlitics
  17. Go to item
    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
    adm
  18. Go to item
    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 > Statistics > Components > Principal Components Analysis with R
    8
    francescots
  19. Go to item
    Component
    AutoML (Regression)
    This Component automatically trains supervised machine learning models for regression. The component is able to automate the whol…
    knime > Examples > 00_Components > Automation > AutoML (Regression)
    8
    knime
  20. Go to item
    Component
    Automated Visualization
    This Component automatically visualizes data in a dashboard based on the most interesting statistical properties of the input col…
    knime > Examples > 00_Components > Visualizations > Automated Visualization
    8
    knime

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