knime.yml

name: word2vec_tf # Will be concatenated with the group_id to an ID
author: Simone Di Gregorio
env_yml_path:
  osx-64: bundlingymls/environment_macos.yml 
  win-64: bundlingymls/environment_win64.yml
  linux-64: bundlingymls/environment_linux.yml
  osx-arm64: bundlingymls/environment_osx-arm-64.yml
extension_module: pyscript/word2vec_pynode # The .py Python module containing the nodes of your extension
description: Word2Vec with Tensorflow # Human readable bundle name / description
long_description: This extension contains a Python-based node which performs Word2Vec with both skip-gram and CBOW algorithms, letting the user choose between hierarchical softmax and negative sampling as approaches to perform the actual fit. The underlying engine for the fit and for some of the pre-processing is Tensorflow.
group_id: it.simonedigregorio
version: 0.6.2 # Version of this Python node extension
vendor: simonedigregorio
license_file: LICENSE.TXT