NodeColumn Auto Type Cast

Manipulator

This node determines the most specific type in the configured string columns and changes the column types accordingly. The type order is to first check if the values are dates, then integer, long, double, and finally string. For dates a custom format can be specified.

Input ports

  1. Input Type: Data
    Arbitrary input data.

Output ports

  1. Type-casted columns Type: Data
    Input data with type-casted columns.
  2. Type information Type: Data
    Information about the chosen type casting.

  1. Train MNIST classifier

    deep learning TensorFlow image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via TensorFlow.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 03_TensorFlow > 03_Train_MNIST_classifier

  2. Read and Execute a SavedModel on MNIST

    deep learning TensorFlow
    This workflow reads a trained SavedModel for the MNIST dataset and executes it on test data.
    shima0011 > 04_Analytics > 14_Deep_Learning > 03_TensorFlow > 01_Read_And_Execute_a_SavedModel_on_MNIST

  3. KNIME Deep Learning - Classify images using ResNet50

    deep learning Keras image classification
    This workflow performs classification on some sample images using the ResNet50 deep learning network architecture, train…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 02_Classify_images_using_ResNet50

  4. Image Recognition for Retail Use Case: Data Preparation & Building Convolutional Neural Network (CNN) Workflow

    We used neural networks for the image recognition task. Neural networks are massively parallel adaptive processing struc…
    knime > Examples > 50_Applications > 47_Image_Recognition_for_Retail > 01_Data_Preparation_and_CNN_Training

  5. KNIME Deep Learning - Train MNIST classifier

    deep learning Keras image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras.
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 03_Train_MNIST_classifier

  6. KNIME Deep Learning - Train MNIST classifier

    deep learning Keras image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via Keras.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 03_Train_MNIST_classifier

  7. Read and Execute a SavedModel on MNIST

    deep learning TensorFlow
    This workflow reads a trained SavedModel for the MNIST dataset and executes it on test data.
    knime > Examples > 04_Analytics > 14_Deep_Learning > 03_TensorFlow > 01_Read_And_Execute_a_SavedModel_on_MNIST

  8. Train MNIST classifier

    deep learning TensorFlow image classification
    This workflow trains a simple convolutional neural network (CNN) on the MNIST dataset via TensorFlow.
    aajaradata > 03_PYTHON-Train_MNIST_classifier

  9. Building CNN from scratch with Keras Layer nodes

    stelfrich > Building CNN from scratch with Keras Layer nodes

  10. Upload a file and visualize as scatter plot

    This workflow demonstrates a usecase of the KNIME Webportal. Here a file can be uploaded and different parameters are ch…
    knime > Examples > 09_Enterprise > 02_WebPortal > 07_Visualize_Scatterplot_on_file