/cs358-forcasting

COMPUTER SIMULATION AND FORECASTING TECHNIQUES IN BUSINESS

Primary LanguageJupyter Notebook

cs358-project

Potential and Demand of Import Export goods on Google cloud platform

copy file to gcp storage

gsutil -m cp -r dir gs://my-bucket

delete

gsutil -m rm -r gs://cs358-project/original_dataset_customs

mount ai platform to gcp scorage

ref https://github.com/GoogleCloudPlatform/gcsfuse/

gcloud auth login

# mount
gcsfuse --implicit-dirs <my-bucket> </path/to/mount>

gcsfuse --implicit-dirs cs358-project ./bucket


# unmount
fusermount -u /path/to/mount

git crash

rm -f .git/index.lock

insert data to BQ

insert data
ref https://cloud.google.com/bigquery/streaming-data-into-bigquery

create schema
ref https://cloud.google.com/bigquery/docs/tables

query data in BQ

ref https://cloud.google.com/bigquery/docs/quickstarts/quickstart-client-libraries

sklearn

partial_fit
ref https://scikit-learn.org/0.15/modules/scaling_strategies.html