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ml_workflow-deployment.yaml
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ml_workflow-deployment.yaml
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###
### A complete description of a Prefect Deployment for flow 'ml-workflow'
###
name: ml_workflow_bank_churn
description: null
version: 5ab76bc07471372eb60aa1469844a895
# The work queue that will handle this deployment's runs
work_queue_name: default
work_pool_name: DC-work-pool
tags:
- dev
parameters: {}
schedule: null
schedules: []
is_schedule_active: null
infra_overrides: {}
###
### DO NOT EDIT BELOW THIS LINE
###
flow_name: ml-workflow
manifest_path: null
infrastructure:
type: process
env: {}
labels: {}
name: null
command: null
stream_output: true
working_dir: null
_block_document_id: 32f51283-7f99-4bec-9f78-aad042c9fa40
_block_document_name: anonymous-3cfa57d3-84df-4e96-8339-f596c8b315f2
_is_anonymous: true
block_type_slug: process
_block_type_slug: process
storage: null
path: C:\Repository\GitHub\ML-Workflow-Orchestration-With-Prefect
entrypoint: main.py:ml_workflow
parameter_openapi_schema:
title: Parameters
type: object
properties:
filename:
title: filename
default: train.csv
position: 0
type: string
required: null
definitions: null
timestamp: '2024-03-14T17:32:23.266177+00:00'
triggers: []
enforce_parameter_schema: null