NodeConstant Value Column

Manipulator

Adds/replace a column containing a single constant value in each row.

Input ports

  1. Input table Type: Data
    Input table.

Output ports

  1. Output table Type: Data
    Table with added or replaced column holding the defined constant value.

  1. Generate Mountain Names (Training)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow builds, trains, and saves an RNN with an LSTM layer to generate new fictive mountain names. The brown nodes…
    kathrin > Forum_Question_How_to_Generate_Product_Names_with_my_own_list > 01_Training 2

  2. FEP analysis 2

    jcmozzic > Recent request > FEP > FEP analysis 2

  3. Table Validator - ensure a certain table structure

    This workflow demonstrates how a certain table structure can be ensured with the help of the Table Validator node(s).
    knime > Examples > 02_ETL_Data_Manipulation > 01_Filtering > 01_Validating_Datatables

  4. Sentiment Analysis

    deep learning keras text classification classification lstm embedding text analysis sequence analysis sentiment analysis sequence classification neural network text processing NLP Natural Language Processing
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The u…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 08_Sentiment_Analysis_with_Deep_Learning_KNIME_nodes

  5. Join by date range

    Date&Time Chunk Loop
    Joins inputdates with a table with date-ranges to see what date-range matches a input-date
    hanss > forum_flows > Join by date range

  6. RandomForest PubChemHTS

    greglandrum > Presentations > 2019 > 2019_CADD_GRC > RandomForest PubChemHTS

  7. Generate Text Using a Many-To-One LSTM Network (Deployment)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflows generates text in fairy tale style. It reads the previously trained TensorFlow network and predicts a sequ…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 11_Generate_Fairy_Tales > 02_Deployment

  8. Actuarial Tables: Creation, Exploration, and Dynamic Report Generation

    Actuarial tables Mortality tables Life expectancy Dynamic Report Generation Insurance
    The example workflow, named “Swiss Actuarial Example”, implements two tasks: - An interactive exploration of the mortali…
    knime > Examples > 50_Applications > 15_Swiss_Actuarial_Example > 01_Swiss_Actuarial_Example

  9. [Case Studies] CS-132 SUV Market 2013 Feature Tuning

    Defines an SUV Market and adds a Feature-level Tuning Loop. Uses the KNIME Extension: Market Simulation by Scientific St…
    scientificstrategy > Case Studies > CS-132 SUV Market 2013 Feature Tuning v03

  10. 06_Sentiment_with_Azure_for_publish

    sentiment analysis Twitter Azure Cognitive Services KNIME Server KNIME WebPortal
    Azure sentiment analysis with Twitter. This workflow uses KNIME's Twitter nodes to perform a Twitter search and submit t…
    knime > Examples > 40_Partners > 01_Microsoft > 06_Sentiment_with_Azure_for_publish