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project.yaml
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96 lines (96 loc) · 2.04 KB
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kind: project
metadata:
name: stress-project-amite
spec:
functions:
- url: jobs_func.py
name: normal-job-sec
kind: job
image: mlrun/mlrun
handler: func_sec
- url: jobs_func.py
name: normal-job-min
kind: job
image: mlrun/mlrun
handler: func_min
- url: jobs_func.py
name: normal-job-hour
kind: job
image: mlrun/mlrun
handler: func_hour
- url: jobs_func.py
name: artifact-job
kind: job
image: mlrun/mlrun
handler: func_artifact
- url: jobs_func.py
name: dataset-job
kind: job
image: mlrun/mlrun
handler: func_dataset
- url: spark_jobs_func.py
name: spark-job
kind: spark
image: mlrun/mlrun
handler: spark_handler
- url: ./dask_jobs_func.py
name: dask-func
kind: job
image: mlrun/mlrun
handler: train
- url: nuclio_func.py
name: nuclio-func
kind: nuclio
image: mlrun/mlrun
handler: handler
- url: log_models.py
name: log-models-job
kind: job
image: mlrun/mlrun
handler: log_n_models
requirements:
- scikit-learn
- url: serving_creator_func.py
name: serving-creator-job
kind: job
image: mlrun/mlrun
handler: deploy_serving_functions
- url: serving_creator_func_ce.py
name: serving-creator-job-ce
kind: job
image: mlrun/mlrun
handler: deploy_serving_functions
- url: prep_data.py
name: prep-data
image: mlrun/mlrun
handler: prep_data
with_repo: true
- url: hub://auto-trainer
name: auto-trainer
- url: hub://v2-model-server
name: serve
- url: hub://describe
name: describe
- url: gen_iris.py
name: gen-iris
image: mlrun/mlrun
handler: iris_generator
requirements:
- requests
workflows:
- path: workflow.py
name: workflow-func
artifacts:
- kind: artifact
metadata:
project: pipe
key: data
spec:
target_path: https://s3.wasabisys.com/iguazio/data/iris/iris.data.raw.csv
conda: ''
source: ''
desired_state: online
build:
commands: []
requirements: []
custom_packagers: []