Cell To Model

Other

Converts a single table cell into a model output.

Input Ports

  1. Type: Data
    Input Table

Output Ports

  1. Type: PortObject
    Output Model

  1. Model Deployment with Report and Email

    Deployment Model Prediction Report Email Flight Delay
    This workflow demontstrates two modes of deploying a model with KNIME. The workflow reads new unseen data from a file, s…
    Users > knime > Examples > 50_Applications > 27_Deployment_Options

  2. Big Data Analytics - Model Selection to Predict Flight Departure Delays on Hive & Spark

    data blending data science machine learning Hadoop Spark model selection data preparation ETL airline data set flight delay
    This workflow trains a number of data analytics models on Hadoop and Spark and automatically selects the best model to p…
    Users > knime > Examples > 50_Applications > 28_Predicting_Departure_Delays

  3. 03_Bioactivity_Prediction_Learn_All_Methods

    This workflow is used for learning the model. It deploys a complex parameter optimzation protocol for model building whe…
    Users > knime > Examples > 50_Applications > 37_Monster_Model_Factory > Process > _Process_Step_Templates > workflows > Templates

  4. Prediction_h2o_rndfor

    Users > knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Prediction

  5. Model Deployment as REST API

    Deployment REST JSON Model Prediction
    This workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via REST inter…
    Users > ml4bwlquam

  6. 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 techni…
    Users > knime > Examples > 04_Analytics > 01_Preprocessing > 02_Techniques_for_Dimensionality_Reduction

  7. Model Optimization and Selection

    This workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementat…
    Users > knime > Examples > 04_Analytics > 11_Optimization

  8. Wide and Deep Learning on the Census dataset

    deep learning wide learning tensorflow keras machine learning
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…
    Users > knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras

  9. Wide and Deep Learning on the Census dataset

    deep learning wide learning tensorflow keras machine learning
    This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data prepa…
    Users > shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras

  10. Customer prediction with H2O in KNIME

    The purpose of this workflow is to showcase the ease of use of the H2O functionalities from within KNIME. As a real worl…
    Users > shima0011 > 04_Analytics > 15_H2O_Machine_Learning

Extension

This node is part of the extension

KNIME Ensemble Learning Wrappers

 v4.0.0

Short Link

Drag node into KNIME Analytics Platform