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import mlrun

project = mlrun.get_or_create_project(name="dummy-classifier", context="./")
db = mlrun.get_run_db()

for model in project.list_models():
    db.del_artifact(key=model.db_key, project=project.name)

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[
  {
    "author": "Focus on High Leverage Activities",
    "content": "Leverage = Impact Produced / Time Invested"
  },
  {
    "author": "Focus on High Leverage Activities",
    "content": "Focus on high leverage and not just easy wins"
  },
  {

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docker run --rm --name provazio-dashboard \
    -v ${PWD}/env.yaml:/tmp/env.yaml \
    -e PROVAZIO_ENV_SPEC_PATH=/tmp/env.yaml \
    -p 8060:8060 \
    gcr.io/iguazio/provazio-dashboard:stable

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dashboard:
  frontend:
    cloud_provider_regions:
      aws:
      - <AWS Region>

client:
  infrastructure:
    ec2:
      access_key_id: <Access Key ID>

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---
# Homepage configuration
# See https://fontawesome.com/icons for icons options

title: "Project to Prod Dashboard"
subtitle: "Homer"
logo: "logo.png"
# icon: "fas fa-skull-crossbones" # Optional icon

columns: "3"