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开源软件名称(OpenSource Name):hunkim/GoogleCloudMLExamples开源软件地址(OpenSource Url):https://github.com/hunkim/GoogleCloudMLExamples开源编程语言(OpenSource Language):Python 100.0%开源软件介绍(OpenSource Introduction):Google Cloud ML ExamplesSlides and Videos
Simple multiplication (train.1-multiply)Run locally:python -m train.1-multiply Run in ClouldMLSet variables JOB_NAME=<your job name>
JOB_NAME="task8"
PROJECT_ID=`gcloud config list project --format "value(core.project)"`
STAGING_BUCKET=gs://${PROJECT_ID}-ml Submit a job gcloud beta ml jobs submit training ${JOB_NAME} \
--package-path=train \
--staging-bucket="${STAGING_BUCKET}" \
--module-name=train.1-multiply Read input.csv from Google Storage (train.2-input)Run locally:python -m train.2-input Run in ClouldMLSet variables JOB_NAME="task8"
PROJECT_ID=`gcloud config list project --format "value(core.project)"`
STAGING_BUCKET=gs://${PROJECT_ID}-ml
INPUT_PATH=${STAGING_BUCKET}/input Copy input.csv to Google Storage gsutil cp input/input.csv $INPUT_PATH/input.csv Submit a job gcloud beta ml jobs submit training ${JOB_NAME} \
--package-path=train \
--staging-bucket="${STAGING_BUCKET}" \
--module-name=train.2-input \
-- --input_dir="${INPUT_PATH}" Write checkpoint files to Google Storage (train.3-output)Run locally:python -m train.3-output Run in CloudMLSet variables JOB_NAME="task20"
PROJECT_ID=`gcloud config list project --format "value(core.project)"`
STAGING_BUCKET=gs://${PROJECT_ID}-ml
OUTPUT_PATH=${STAGING_BUCKET}/output/ Create the output folder
(Copy an empty file to the GS path with trailing slash, gsutil cp /dev/null $OUTPUT_PATH Submit a job gcloud beta ml jobs submit training ${JOB_NAME} \
--package-path=train \
--staging-bucket="${STAGING_BUCKET}" \
--module-name=train.3-output \
-- --output_dir="${OUTPUT_PATH}" Contributions/CommentsWe always welcome your contributions/comments. Use the Issues. |
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