add some google cloud platform commands (possibly already outdated)

GCP.markdown

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+
+gcloud auth list
+gcloud config list project
+gcloud config set compute/zone us-central1-a
+gcloud container clusters create awwvision \
+    --num-nodes 2 \
+    --scopes cloud-platform
+
+gcloud container clusters get-credentials awwvision
+
+gcloud ai-platform models create flights --regions us-central1
+gcloud ai-platform versions create v1 --model flights \
+                                      --origin ${MODEL_LOCATION} \
+                                      --runtime-version 1.10
+
+kubectl cluster-info
+kubectl get pods
+kubectl get deployments -o wide
+
+export PROJECT_ID=$(gcloud info --format='value(config.project)')
+export BUCKET=${PROJECT_ID}
+
+gsutil cp gs://${BUCKET}/flights/chapter9/linear-model.tar.gz ~
+MODEL_LOCATION=$(gsutil ls $OUTPUT_DIR/export/exporter | tail -1)
+
+gsutil mv -p gs://gnpqwiklabs_cloudstorageconsole/800px-Ada_Lovelace_portrait.jpg gs://gnpqwiklabs_cloudstorageconsole/ada.jpg
+gsutil mv -p gs://gnpqwiklabs_cloudstorageconsole/folder1/folder2/800px-Ada_Lovelace_portrait.jpg gs://gnpqwiklabs_cloudstorageconsole/folder1/folder2/
+
+
+export JOBNAME=dnn_flights_$(date -u +%y%m%d_%H%M%S)
+
+gcloud ml-engine jobs submit training $JOBNAME \
+  --module-name=trainer.task \
+  --package-path=$(pwd)/flights/trainer \
+  --job-dir=$OUTPUT_DIR \
+  --staging-bucket=gs://$BUCKET \
+  --region=$REGION \
+  --scale-tier=STANDARD_1 \
+  --runtime-version=1.10 \
+  -- \
+  --output_dir=$OUTPUT_DIR \
+  --traindata $DATA_DIR/train* --evaldata $DATA_DIR/test*
+
+
+gcloud ml-engine jobs submit training $JOBNAME \
+  --module-name=trainer.task \
+  --package-path=$(pwd)/flights/trainer \
+  --job-dir=$OUTPUT_DIR \
+  --staging-bucket=gs://$BUCKET \
+  --region=$REGION \
+  --scale-tier=STANDARD_1 \
+  --runtime-version=1.10 \
+  -- \
+  --output_dir=$OUTPUT_DIR \
+  --traindata $DATA_DIR/train* --evaldata $DATA_DIR/test*
+
+WARNING: The `gcloud ml-engine` commands have been renamed and will soon be removed. Please use `gcloud ai-platform` instead.
+
+sudo pip install --upgrade google-api-python-client
+sudo pip install --upgrade oauth2client
+
+
+gcloud container clusters get-credentials burt-kubeflow --zone us-central1-a --project fermilab-nord-ldrd \
+ && kubectl port-forward --namespace kubeflow $(kubectl get pod --namespace kubeflow --selector="service=ambassador" --output jsonpath='{.items[0].metadata.name}') 8080:80
+
+
+export BUCKET_NAME=kubeflow-${PROJECT_ID}
+gsutil mb gs://${BUCKET_NAME}
+
+gcloud config set core/project $PROJECT_ID
+gcloud config set compute/zone us-central1-f
+gsutil mb -c multi_regional -l us gs://gnp-housing-predict
+datalab create my-datalab --machine-type n1-standard-4
+
+gcloud ai-platform jobs describe housing_190826_224933
+gcloud ai-platform jobs stream-logs housing_190826_224933
+