feat(copier): add .copier-config.yaml file with project configuration…

… for HyFI-ML

.copier-config.yaml

@@ -0,0 +1,34 @@
+# Changes here will be overwritten by Copier; do NOT edit manually
+_commit: v0.11.7
+_src_path: gh:entelecheia/hyperfast-python-template
+author: Young Joon Lee
+build_and_release: true
+code_template_answers_file: .copier-hyfi-config.yaml
+code_template_source: gh:entelecheia/hyfi-template
+codecov_graph_token: BC2f1ooCPI
+copyright_year: 2023
+documentaion_tool: jupyter-book
+documentation_url: https://hyfi-ml.entelecheia.ai
+email: entelecheia@hotmail.com
+favicon_path: https://assets.entelecheia.ai/favicon.png
+friendly_name: HyFI-ML
+github_repo_name: hyfi-ml
+github_username: entelecheia
+google_analytics_id: G-Q1HTTH4YZ2
+logo_path: ''
+main_branch: main
+package_name: hyfiml
+package_scripts:
+- hyfiml = 'hyfiml.__cli__:main'
+poe_task_files:
+- .tasks.toml
+- .tasks-extra.toml
+project_description: HyFI-ML aims to simplify the development and deployment of machine learning models by leveraging the benefits of Hydra's configuration management system. It provides a structured and organized approach to building machine learning pipelines, making it easier for data scientists and machine learning engineers to iterate on models and deploy them to production environments. 
+project_license: MIT
+project_name: hyfi-ml
+project_short_description: HyFI-ML is a Python package that extends the Hydra Fast Interface (HyFI) framework with machine learning capabilities.
+upload_to_release: true
+upload_to_repository: true
+use_launch_buttons: true
+use_source_code_skeleton: true
+