A time series data analysis algorithm library for industrial scenarios

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for black_66 from gravatar.com black_66

Unverified details

These details have not been verified by PyPI
Meta
  • Author: PYJ
  • Requires: Python >=3.6
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for black_66 from gravatar.com black_66

Unverified details

These details have not been verified by PyPI
Meta
  • Author: PYJ
  • Requires: Python >=3.6

Release history Release notifications | RSS feed

2.2.3

2.2.2

2.2.1

2.1.5

2.1.4

2.1.2

2.1.1

2.1

1.11.7

1.11.6

This version

1.11.5

1.11.4

1.11.1

1.10.3

1.10.2

1.10.1

1.9.8

1.9.2

1.9.1

1.8.1

1.6.1

1.5.1

1.4.3

1.4.2

1.4.1

1.3.1

1.2.5

1.2.3

1.2.2

1.2.1

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.0.1

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-1.11.5.tar.gz (59.5 MB 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-1.11.5-py3-none-any.whl (61.8 MB view details)

Uploaded Python 3

File details

Details for the file industrial_time_series_analysis-1.11.5.tar.gz.

File metadata

File hashes

Hashes for industrial_time_series_analysis-1.11.5.tar.gz
Algorithm Hash digest
SHA256 94784dad6940aea6fb7eff363eeac9a532d5dede5546e2a4ca26f97d4908ab52
MD5 eee100cef3964b114afd528fd91eee3b
BLAKE2b-256 03a18b8f4126b354fe020357a02da8627a045aa4836f30cb1185bc6c8ccc60f9

See more details on using hashes here.

File details

Details for the file Industrial_time_series_analysis-1.11.5-py3-none-any.whl.

File metadata

File hashes

Hashes for Industrial_time_series_analysis-1.11.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ac0832b2875e682929d8d5e4f54a2fc3395a747c78f58835957f1dc674badbe4
MD5 22655ba99a1ab17a862d82f4e3ea1e6f
BLAKE2b-256 da37301099179591ee734d5ac00bb6e98659f722287f0314524a42b9009fac70

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