python3 -V      # Check which version of Python 3 is installed
pip3 install --user --upgrade pip
pip3 install --user --upgrade virtualenv
virtualenv mlenv
source mlenv/bin/activate
pip3 install tensorflow==2.2

git clone https://github.com/cloudacademy/aiplatform-intro.git
cd aiplatform-intro/iris/trainer
python3 iris.py --job-dir export

cd ..
gcloud ai-platform local train --module-name trainer.iris --package-path trainer --job-dir export

PROJECT=$(gcloud config list project --format "value(core.project)")
BUCKET=gs://${PROJECT}-aiplatform
REGION=us-central1
gsutil mb -l $REGION $BUCKET

JOB=iris1
gcloud ai-platform jobs submit training $JOB \
    --module-name trainer.iris \
    --package-path trainer \
    --staging-bucket $BUCKET \
    --region $REGION \
    --python-version 3.7 \
    --runtime-version 2.2 \
    --job-dir $BUCKET/$JOB

pip3 install numpy pandas sklearn
cd ../pets

gcloud ai-platform local train --module-name trainer.pets --package-path trainer --job-dir export

JOB=pets1
gcloud ai-platform jobs submit training $JOB \
    --module-name trainer.pets \
    --package-path trainer \
    --staging-bucket $BUCKET \
    --region $REGION \
    --python-version 3.7 \
    --runtime-version 2.2 \
    --scale-tier STANDARD_1 \
    --job-dir $BUCKET/$JOB

cd ../iris
gcloud ai-platform models create iris --regions=$REGION

gcloud ai-platform versions create v1 \
    --model iris \
    --runtime-version 2.2 \
    --region global \
    --origin $BUCKET/iris1

gcloud ai-platform predict \
    --model iris \
    --version v1 \
    --region global \
    --json-request test.json