Makefile

### GCP configuration - - - - - - - - - - - - - - - - - - -

# /!\ you should fill these according to your account

### GCP Project - - - - - - - - - - - - - - - - - - - - - -

# not required here

### GCP Storage - - - - - - - - - - - - - - - - - - - - - -

BUCKET_NAME=wagon-data-742-capitaine2

##### Data  - - - - - - - - - - - - - - - - - - - - - - - -

# not required here

##### Training  - - - - - - - - - - - - - - - - - - - - - -

# will store the packages uploaded to GCP for the training
BUCKET_TRAINING_FOLDER = 'trainings'

##### Model - - - - - - - - - - - - - - - - - - - - - - - -

# not required here

### GCP AI Platform - - - - - - - - - - - - - - - - - - - -

##### Machine configuration - - - - - - - - - - - - - - - -

REGION=europe-west1

PYTHON_VERSION=3.7
FRAMEWORK=scikit-learn
RUNTIME_VERSION=1.15

##### Package params  - - - - - - - - - - - - - - - - - - -

PACKAGE_NAME=SimpleTaxiFare
FILENAME=trainer

##### Job - - - - - - - - - - - - - - - - - - - - - - - - -

JOB_NAME=taxi_fare_training_pipeline_$(shell date +'%Y%m%d_%H%M%S')


run_locally:
	@python -m ${PACKAGE_NAME}.${FILENAME}

gcp_submit_training:
	gcloud ai-platform jobs submit training ${JOB_NAME} \
		--job-dir gs://${BUCKET_NAME}/${BUCKET_TRAINING_FOLDER} \
		--package-path ${PACKAGE_NAME} \
		--module-name ${PACKAGE_NAME}.${FILENAME} \
		--python-version=${PYTHON_VERSION} \
		--runtime-version=${RUNTIME_VERSION} \
		--region ${REGION} \
		--stream-logs

clean:
	@rm -f */version.txt
	@rm -f .coverage
	@rm -fr */__pycache__ __pycache__
	@rm -fr build dist *.dist-info *.egg-info
	@rm -fr */*.pyc