NodeX-Partitioner

LoopStart

This node is the first in a cross validation loop. At the end of the loop there must be a X-Aggregator to collect the results from each iteration. All nodes in between these two node are executed as many times as iterations should be performed.

Input ports
  1. Any datatable Type: Data
    The datatable that is to be split
Output ports
  1. Training data Type: Data
    The data table with the training data
  2. Test data Type: Data
    The data table with the test data
  1. Housing Value Prediction using Regression
    deeplearning machine learning regression mlp
    This workflow shows how to use an MLP to predict a target value of a small real world example dataset. Dataset and desc…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 01_DL4J > 11_Housing_Value_Prediction_Using_Regression
  2. Credit Scoring
    Credit Scoring Credit Rating Customer Risk Decision Tree Neural Network SVM
    This KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeli…
    dainq > Public > Churn Prediction > Credit Scoring > Building a Credit Scoring Model
  3. Cross Validation with SVM
    A Cross-Validation setup is provided by using a Support-Vector-Machine (SVM) as base learning algorithm.
    knime > Examples > 04_Analytics > 11_Optimization > 01_Cross_Validation_with_SVM
  4. svm
    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Models > classification > svm
  5. Data Cleaning through a Web Interface
    data cleaning dimensionality reduction WebPortal web browser ETL data wrangling
    This application will guide you through the process of eliminating data columns that are useless or even harmful to you…
    sa0319 > Public > DataCleaning_WebPortal
  6. random_forest_test(3)
    ferryas > Public > random_forest_test(3)
  7. Data Cleaning through a Web Interface
    data cleaning dimensionality reduction WebPortal web browser ETL data wrangling
    This application will guide you through the process of eliminating data columns that are useless or even harmful to you…
    knime > Examples > 50_Applications > 25_DataCleaning_WebPortal > DataCleaning_WebPortal
  8. KNIME_predict cylinder(9) SVM
    knimeoutjie > Public > Cylinders > KNIME_predict cylinder(9) SVM
  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. P1
    pabloj121 > Public > P1