NodeCreate Collection Column

Manipulator

This node aggregates multiple columns in a separate new column, whose type is a "collection type". The cells in the new column are typed collections of cells; that is, the content can be safely be split into the original column content. The reverse operation is available in the "Split Collection Column" node.

Input Ports

  1. Port Type: Data
    Any input data

Output Ports

  1. Port Type: Data
    The input data along with a newly appended collection column.

  1. Classifying handwritten digits using KNIME, DL4J and a LeNet variant

    deep learning GPU image classification digit recognition Le Net
    The workflow downloads, uncompresses and preprocesses the orignal MNIST dataset from: http://yann.lecun.com/exdb/mnist/ …
    aajaradata > 01_Using_DeepLearning4J_to_classify_MNIST_Digits

  2. Kolmogorov-Smirnov Matrix

    statistics kolmogorov-smirnov heatmap
    Executes the Kolmogorov-Smirnov test on all pairs of columns in the HSB2 dataset. It creates a matrix view from the comp…
    shima0011 > 04_Analytics > 02_Statistics > 06_Kolmogorov-Smirnov_Matrix

  3. Generate Mountain Namesn (Deployment)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts …
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 10_Generate_Product_Names_With_LSTM > 02_Deployment

  4. Generate Mountain Namesn (Deployment)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing
    The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts …
    kathrin > Forum_Question_How_to_Generate_Product_Names_with_my_own_list > 02_Deployment

  5. Generate Mountain Names (Deployment)

    deep learning keras text generation RNN LSTM text analysis sequence analysis neural network text processing NLP Natural Language Processing
    The workflow generates 200 new, fictive mountain names. It reads the previously trained TensorFlow network and predicts …
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 10_Generate_Product_Names_With_LSTM > 02_Deployment

  6. dec_tree

    knime > Examples > 50_Applications > 36_Guided_Analytics_for_ML_Automation > 01_Guided_Analytics_for_ML_Automation > Models > classification > dec_tree

  7. Power Supply workflow

    There has been no description set for this workflow's metadata.
    v.matton > power_supply

  8. Using Jupyter from KNIME to embed documents

    Jupyter Python visualization exploration topic modeling database text mining ChEMBL
    Uses functionality provided in a Jupyter notebook to embed documents from a topic-space representation into 2D Euclidean…
    knime > Examples > 07_Scripting > 03_Python > 04_Using_Jupyter_from_KNIME_to_embed_documents

  9. Kolmogorov-Smirnov Matrix

    statistics kolmogorov-smirnov heatmap
    Executes the Kolmogorov-Smirnov test on all pairs of columns in the HSB2 dataset. It creates a matrix view from the comp…
    aajaradata > 06_Kolmogorov-Smirnov_Matrix

  10. Sentiment Analysis

    deep learning keras text classification classification lstm embedding text analysis sequence analysis sentiment analysis sequence classification neural network text processing
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The u…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 08_Sentiment_Analysis_with_Deep_Learning_KNIME_nodes