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train-cloud.sh
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train-cloud.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.
# ==============================================================================
set -v
echo "Submitting an AI Platform job..."
export MODEL_NAME="sklearn_taxi"
export MODEL_DIR=gs://${BUCKET_NAME}/${MODEL_NAME}
PACKAGE_PATH=./trainer # this can be a GCS location to a zipped and uploaded package
CURRENT_DATE=$(date +%Y%m%d_%H%M%S)
JOB_NAME=train_${MODEL_NAME}_${CURRENT_DATE}
PYTHON_VERSION=3.7
RUNTIME_VERSION=1.15
TIER="BASIC" # BASIC | BASIC_GPU | STANDARD_1 | PREMIUM_1
gcloud ai-platform jobs submit training "${JOB_NAME}" \
--job-dir="${MODEL_DIR}" \
--runtime-version=${RUNTIME_VERSION} \
--region="${REGION}" \
--scale-tier=${TIER} \
--module-name=trainer.task \
--package-path=${PACKAGE_PATH} \
--python-version=${PYTHON_VERSION} \
--stream-logs \
-- \
--input="${GCS_TAXI_TRAIN_BIG}" \
--n-estimators=20 \
--max-depth=3
set -
# Notes:
# GCS_TAXI_TRAIN_BIG is set by datasets/download-taxi.sh script
# use --packages instead of --package-path if GCS location
# add --reuse-job-dir to resume training