ml_pipeline-deployment.yaml

###
### A complete description of a Prefect Deployment for flow 'ml-pipeline'
###
name: ml_pipeline_bike_sharing_analysis
description: null
version: 23760e6bbb182ea36955fcde38dd9ada
# The work queue that will handle this deployment's runs
work_queue_name: default
work_pool_name: default-agent-pool
tags:
- dev
parameters: {}
schedule: null
schedules: []
is_schedule_active: null
infra_overrides: {}

###
### DO NOT EDIT BELOW THIS LINE
###
flow_name: ml-pipeline
manifest_path: null
infrastructure:
  type: process
  env: {}
  labels: {}
  name: null
  command: null
  stream_output: true
  working_dir: null
  _block_document_id: 7833591b-07ee-4dd4-a191-af853be8ab6c
  _block_document_name: anonymous-8b5748b7-c328-4ac2-9958-2f39dd8fb838
  _is_anonymous: true
  block_type_slug: process
  _block_type_slug: process
storage: null
path: /Users/kachiemenike/My Documents/project-mlops
entrypoint: src/ml_pipeline.py:ml_pipeline
parameter_openapi_schema:
  title: Parameters
  type: object
  properties: {}
  required: null
  definitions: null
timestamp: '2024-08-19T13:58:11.340375+00:00'
triggers: []
enforce_parameter_schema: null