Skip to main content

Industrial Timing Data Analysis Algorithm

Project description

Introduction

Requirements

  • python==3.10.2
  • torch==1.12.0
  • torch-geometric==2.2.0
  • torch-scatter==2.0.9
  • torch-sparse==0.6.14
  • numpy==1.22.3
  • matplotlib==3.5.2

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

industrial_time_series_analysis-1.2.2.tar.gz (504.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Industrial_time_series_analysis-1.2.2-py3-none-any.whl (933.1 kB view details)

Uploaded Python 3

File details

Details for the file industrial_time_series_analysis-1.2.2.tar.gz.

File metadata

File hashes

Hashes for industrial_time_series_analysis-1.2.2.tar.gz
Algorithm Hash digest
SHA256 1a27302dfc467e945fa838af7d87aded7807b8ddb37fea6eb27338e01a9b3af0
MD5 cc2d9d227d5a38ffcf6396110b8e4fa6
BLAKE2b-256 c1bd45660e24ddb84778c5a20edfc4818a9517411ff758559335da8de9237a5e

See more details on using hashes here.

File details

Details for the file Industrial_time_series_analysis-1.2.2-py3-none-any.whl.

File metadata

File hashes

Hashes for Industrial_time_series_analysis-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 c3fd170d579ed4e7c4ce745a28a12bfe72bf0fea5341564e49cff3c00828bd60
MD5 1c9eb7580645f79bb7f8c60b35b60476
BLAKE2b-256 b6d49799c91b294472f13e28c3c7330785c6af008d02834492750687c05c280a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page