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deploy.sh
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deploy.sh
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#!/bin/bash
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# This has to be run after train-cloud.sh is successfully executed
REGION="us-central1" # choose a GCP region, e.g. "us-central1". Choose from https://cloud.google.com/ai-platform/training/docs/regions
BUCKET_NAME="" # TODO Change BUCKET_NAME to your bucket name
MODEL_NAME="xgboost_model" # change to your model name, e.g. "estimator"
MODEL_VERSION="v1"
MODEL_BINARIES=gs://${BUCKET_NAME}/"${MODEL_DIR}"/model
PYTHON_VERSION=3.7
RUNTIME_VERSION=1.15
gsutil ls "${MODEL_BINARIES}"
# Delete model version, if previous model version exist.
gcloud ai-platform versions delete ${MODEL_VERSION} --model=${MODEL_NAME}
# Delete model, if previous model exist.
gcloud ai-platform models delete ${MODEL_NAME}
echo "First, creating the model resource..."
gcloud beta ai-platform models create "${MODEL_NAME}" --region="${REGION}"
echo "Second, creating the model version..."
gcloud beta ai-platform versions create ${MODEL_VERSION} \
--model "${MODEL_NAME}" \
--origin "${MODEL_DIR}"/model \
--framework XGBOOST \
--region "$REGION" \
--runtime-version=${RUNTIME_VERSION} \
--python-version=${PYTHON_VERSION} \
--machine-type n1-highcpu-2