A library of transformers to support portable representations of AutoAI TimeSeries pipelines.

These details have been verified by PyPI

Maintainers

DanielRyszka donghai Pawel.Cholewa wjuncdl

These details have not been verified by PyPI

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Project description

autoai_ts_libs

A library of transformers to support portable representations of AutoAI TimeSeries pipelines.

License

This library is delivered under the International License Agreement for Non-Warranted Programs (see LICENSE.txt).

Installation

Configure Artifactory

To pull various dependencies, you'll need Artifactory configured. To obtain access:

Visit the Artifactory webapp to get your credentials.
In the top right - Welcome, <lowercase-youribmemail@ibm.com> - is your ARTIFACTORY_USERNAME.
Go to your user profile for the API Key.
Copy the API Key for use as your ARTIFACTORY_API_KEY.

Open and change your pip config file ~/.pip/pip.conf to look like this (replace the variable placeholders with REAL values):

[global]
timeout = 60
index-url = https://<ARTIFACTORY_USERNAME>:<ARTIFACTORY_API_KEY>@na.artifactory.swg-devops.com/artifactory/api/pypi/wcp-nlp-pypi-virtual/simple
extra-index-url =
    https://<ARTIFACTORY_USERNAME>:<ARTIFACTORY_API_KEY>@na.artifactory.swg-devops.com/artifactory/api/pypi/res-srom-pypi-local/simple
    https://<ARTIFACTORY_USERNAME>:<ARTIFACTORY_API_KEY>@na.artifactory.swg-devops.com/artifactory/api/pypi/wcp-ai-foundation-team-pypi-virtual/simple

Install

# Clone repo and prepare to install
git clone git@github.ibm.com:autoai/autoai_ts_libs.git
cd autoai_ts_libs
./install_autoai_ts_libs.sh

Project details

These details have been verified by PyPI

Maintainers

DanielRyszka donghai Pawel.Cholewa wjuncdl

These details have not been verified by PyPI

GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Release history Release notifications | RSS feed

4.0.4 yanked

Apr 19, 2024

4.0.2 yanked

Apr 12, 2024

3.2.4

Apr 26, 2024

3.2.3

Apr 12, 2024

3.2.2

Apr 3, 2024

3.2.1 yanked

Mar 26, 2024

3.2.0

Mar 14, 2024

3.1.0

Mar 12, 2024

3.0.23

Jan 25, 2024

3.0.17

Nov 14, 2023

3.0.13

Aug 10, 2023

3.0.8

Jun 9, 2023

3.0.7 yanked

May 26, 2023

3.0.4

May 12, 2023

2.0.13

Jun 7, 2023

2.0.11

Apr 6, 2023

2.0.10

Mar 20, 2023

2.0.9

Mar 9, 2023

2.0.8

Mar 1, 2023

2.0.7

Feb 16, 2023

This version

2.0.6

Jan 31, 2023

1.2.6

Mar 20, 2023

1.2.5

Mar 1, 2023

1.2.4

Feb 1, 2023

1.2.3

Jan 25, 2023

1.2.2

Jan 10, 2023

1.2.1

Oct 27, 2022

1.2.0

Sep 9, 2022

1.1.17

May 22, 2023

1.1.16

Sep 15, 2022

1.1.15

Sep 1, 2022

1.1.14

Aug 18, 2022

1.1.13

Jul 28, 2022

1.1.12

Jun 27, 2022

1.1.11

Jun 17, 2022

1.1.10

Jun 10, 2022

1.1.9

May 25, 2022

1.1.8

May 5, 2022

1.1.7

Apr 11, 2022

1.1.5

Mar 30, 2022

1.1.4 yanked

Mar 16, 2022

1.1.3

Feb 9, 2022

1.1.2

Jan 26, 2022

1.0.11

Jan 24, 2022

1.0.8

Dec 8, 2021

1.0.7

Dec 6, 2021

1.0.6

Nov 18, 2021

1.0.5

Nov 18, 2021

1.0.4

Nov 12, 2021

1.0.3

Oct 27, 2021

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

autoai_ts_libs-2.0.6-73-cp310-cp310-win_amd64.whl (22.7 MB view hashes)

Uploaded Feb 6, 2023 CPython 3.10 Windows x86-64

autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux2014_ppc64le.whl (83.6 MB view hashes)

Uploaded Feb 6, 2023 CPython 3.10

autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux1_x86_64.whl (101.5 MB view hashes)

Uploaded Feb 6, 2023 CPython 3.10

autoai_ts_libs-2.0.6-73-cp310-cp310-macosx_10_9_x86_64.whl (28.3 MB view hashes)

Uploaded Feb 6, 2023 CPython 3.10 macOS 10.9+ x86-64

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-win_amd64.whl

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`c13502d66ed34b53f5ff7338b17611dc959f8b5b716aad1e9d890a1dc6d94149`
MD5	`dfbf16b3276ae211ce3e534049d1ccd1`
BLAKE2b-256	`c555ad28ad76a34c91fffcd70b641d72720aff0c01072df5478a129ba5c8b167`

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux2014_ppc64le.whl

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux2014_ppc64le.whl
Algorithm	Hash digest
SHA256	`0e55425a780e0c7238291445e8387b3150e23e282a815a6cbdfd87f107782a5b`
MD5	`a2f7202b53b9644b00095b09826df1ee`
BLAKE2b-256	`e13eea4f82fff5c17334b459e76411669f85df351ffdca931ccc48a36b0c2e3c`

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux1_x86_64.whl

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`7a3b539b926b4b0686f9bfd9abc09ac80d32796a82d906d98276c0de1ab4ae18`
MD5	`49cd5c15f9c49f1c8f0db67d17cad4f2`
BLAKE2b-256	`e773003a0588a7bc7323e8e7844b67dd45e3747785986cadbe90d546ee452634`

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-macosx_10_9_x86_64.whl

Hashes for autoai_ts_libs-2.0.6-73-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`f10f586a7bcd24d2f7efe03d9abbb8dc75cafb4bd77d37f9fc23456821764c75`
MD5	`76f8c4ffa0bc5c3a67d7e7da270dd9a4`
BLAKE2b-256	`4d62e36b2eb387b119a06273292e1a9ebf43865bd84a9e0778135ccea08e980d`