NodeCounting Loop Start

LoopStart

The LoopStart is the node that starts a loop that is executed a predefined number of times. At the end of the loop you need LoopEnd, which collects the results from all loop iterations. All nodes in between are executed as many times as you specify in the dialog of LoopStart.

External resources
Input ports
  1. Any port object Type: Data
    The input data, which can be a data table or any other arbitrary port object.
Output ports
  1. Unaltered input Type: Data
    The unaltered input object
  1. Baking an Approximate Pi
    pi montecarlo
    Example of using a Monte Carlo simulation to calculate an approximation of the value of pi.
    pwisneskey > Public > Baking an Approximate Pi
  2. Large queries on a public endpoint
    semantic web sparql rdf
    Public endpoints often have a limited return (say 10000 triples) to overcome this and do larger queries one can work wi…
    knime > Examples > 08_Other_Analytics_Types > 06_Semantic_Web > 09_Doing_a_large_Query_on_a_public_endpoint
  3. 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 techn…
    dg-clarkston > Public > dimension_reduction_techniques
  4. Counting Loop Start
    This workflow demonstrates the usage of the "Counting Loop Start".
    knime > Examples > 06_Control_Structures > 04_Loops > 10_Looping_a_fixed_number
  5. 03_Bioactivity_Prediction_Learn_Testing
    parameter optimization loop machine learning
    This workflow is used for learning the model. It deploys a simple version of parameter optimzation protocol designed fo…
    knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates > 03_Bioactivity_Prediction_Learn_Testing
  6. DT (1)
    jallmer > Public > DMML > DT (1)
  7. 03_ChEMBL_Bioactivity_Search
    This workflow uses REST API of ChEMBLdb and native KNIME nodes to extract a data set of ligands for a certain biologica…
    knime > Examples > 50_Applications > 30_RESTful_ChEMBL > 03_ChEMBL_Bioactivity_Search
  8. Farkle - Create Player Template
    Genetic Algorithm Machine Learning
    A workflow to generate a template for a Farkle player’s decision table. The template is simply all possible rolls that …
    pwisneskey > Public > Farkle > Farkle - Create Player Template
  9. TeachOpenCADD - a teaching platform for computer-aided drug design using KNIME
    ChEMBL query PDB query Molecular filtering Unwanted substructures Lipinski's rule of five Similarity search Compound clustering Maximum common substructure Machine learning
    The TeachOpenCADD KNIME (v1.0.2) pipeline consists of eight inter-connected workflows (W1-8) , each containing one topi…
    volkamerlab > Public > TeachOpenCADD > TeachOpenCADD
  10. Recursive
    willem > Public > Recursive > Recursive