Integration of python and keras in anaconda in to knime for mac

The integration can be found under KNIME Labs Extensions or by entering Keras into the search box.

TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

In order to set up Python for the Deep Learning Integrations, follow the instructions in the Setting up Python for KNIME Deep Learning section.

If you already installed Anaconda, e.g.

KNIME Python Integration, skip this step.

In KNIME Analytics Platform, go to File Install KNIME Extensions.

The integrations can be found under KNIME Labs Extensions or by entering Deep Learning into the search box.

A dialog opens giving you two options for configuring the Python Deep Learning environment.

Once you have entered a valid path, the installed conda version is displayed and KNIME automatically checks for all available conda environments.

Underneath the conda version number, you can choose which conda environment should be used for the KNIME Keras nodes and for the KNIME TensorFlow 2 nodes by selecting it from the combo boxes.

If you have already set up a Python Deep Learning environment containing all the necessary dependencies for KNIME Deep Learning, just select it from the list and you are ready to go.

If you do not have a suitable environment available, click the New environment button.

Next, choose if you want to create a new CPU or GPU environment and click the corresponding button.

This creates a new conda environment containing all required Python dependencies for Keras or for TensorFlow 2.

Only choose GPU if you have a TensorFlow compatible GPU available.

More information about TensorFlow 2 GPU support can be found here.

Depending on your internet connection, the environment creation may take a while as all packages need to be downloaded and extracted.

If everything worked out fine, the Python version is now shown below the environment selection.

If Keras is selected the environment selected for the Keras nodes will be used and the Keras Python library (and the TensorFlow 1 Python library) will be available when using DL Python scripting nodes.

If TensorFlow 2 is selected the environment selected for the TensorFlow 2 nodes will be used and the TensorFlow 2 Python library will be available when using DL Python scripting nodes.

This assumes that this Python 3 environment already contains all required Python Deep Learning packages (which have to be installed manually).

A list of the required Python Deep Learning packages for the Keras Integration is documented in the KNIME Keras Integration Installation section.

This option is intended for advanced users, we recommend to choose Option 1.

Integration Of Python And Keras In Anaconda In To Knime For Mac