NodePython Script (1⇒1)

Manipulator

Allows execution of a Python script in a local Python installation. The path to the Python executable has to be configured in Preferences → KNIME → Python. This node supports Python 2 and 3. It also allows to import Jupyter notebooks as Python modules via the knime_jupyter module that is part of the Python workspace.

Input Ports

  1. Port Type: Data
    The input table. In the Python script it is available as pandas.DataFrame under the name input_table .

Output Ports

  1. Port Type: Data
    The output table. This is the content of the variable output_table which has to be defined and has to be of the type pandas.DataFrame for this node to successfully execute.

  1. Semantic Segmentation with Deep Learning in KNIME

    deep learning image processing image analysis computer vision unet neural network segmentation semantic segmentation encoder decoder pixel classification
    This workflow shows how the new KNIME Keras integration can be used to train and deploy a specialized deep neural networ…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 06_Semantic_Segmentation

  2. Example workflow for Fourier Analysis Component

    Example Server Components Fast Fourier Transform Frequency Transformation Python
    This example workflow shows how to use the Fast Fourier Transform (FFT) Component.
    ana_ved > Fourier_Analysis_use_case

  3. Neural Machine Translation English to German

    deep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequence
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by chara…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 05_Neural_Machine_Translation

  4. Fine-tune VGG16

    deep learning Keras image classification
    In this workflow we are fine-tuning a VGG1G network, similar to "Fine-tune VGG16 (Python)". However, we won't make use o…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 04_Cats_and_Dogs > 04_Fine-tune_VGG16

  5. Recomendation Engine for Retailers - Data Preparation

    This solution provides the users with a recommendation or a best guess for the product likely to be sold at a store leve…
    knime > Examples > 50_Applications > 43_Recomendation_Engine_for_Retailers > 01_Data_Preparation

  6. HoughLinesWorkflow

    l.thomas > HoughLinesWorkflow

  7. First_Project_ML

    djibrina-barry > LOCAL > First_Project_ML

  8. Fine-tune VGG16

    deep learning Keras image classification
    In this workflow we are fine-tuning a VGG1G network, similar to "Fine-tune VGG16 (Python)". However, we won't make use o…
    shima0011 > 04_Analytics > 14_Deep_Learning > 02_Keras > 04_Cats_and_Dogs > 04_Fine-tune_VGG16

  9. Neural Machine Translation English to German

    deep learning keras sequence analysis text analysis text processing machine translation neural machine translation neural language translation lstm encoder decoder neural network sequence to sequence NLP Natural Language Processing Python
    Uses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by chara…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 05_Neural_Machine_Translation

  10. Power Supply workflow

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