veld_eval_word2vec.yaml

x-veld:
  code:
    description: "custom evaluation logic on word2vec word embeddings."
    topics:
      - "NLP"
      - "Machine learning"
      - "evaluation"

    inputs:
      - volume: /veld/input/model/
        environment: in_model_file
        description: "word2vec model file to be evaluated"
        file_type: "word2vec model"
        contents:
          - "NLP model"
          - "word embeddings model"
      - volume: /veld/input/model/
        environment: in_model_metadata_file
        description: "word2vec model metadata"
        file_type: "yaml"
        contents: "metadata"
      - volume: /veld/input/eval_data/
        environment: in_eval_gold_data_file
        file_type: "yaml"
        contents: "NLP gold data"

    outputs:
      - volume: /veld/output/summary/
        environment: out_eval_summary_file
        file_type: "yaml"
        description: ""
        contents: ""
      - volume: /veld/output/log/
        environment: out_eval_log_file
        file_type: "txt"
        contents: "logs"

services:
  veld_eval_word2vec:
    build: 
      context: .
      dockerfile: ./build_word2vec.dockerfile
    command: python eval_word2vec.py
    volumes:
      - ./src/:/veld/code/:z
      - ./data/models/:/veld/input/1/:z
      - ./data/evaluation_gold_data/:/veld/input/2/:z
      - ./data/evaluation_results/summary/:/veld/output/1/:z
      - ./data/evaluation_results/logs/:/veld/output/2/:z
    environment:
      in_1_model_file: null
      in_1_model_metadata_file: null
      in_2_eval_gold_data_file: null
      out_1_eval_summary_file: null
      out_2_eval_log_file: null