Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

use dpl v2 for travis config #295

Merged
merged 1 commit into from
Nov 15, 2020
Merged

Conversation

steveyang90
Copy link
Collaborator

Description

Use dpl v2 for travis config

Type of change

  • Bug fix

@steveyang90 steveyang90 merged commit f6adc00 into master Nov 15, 2020
@edwinnglabs edwinnglabs deleted the debug-travis-pypi-deployment branch November 25, 2020 00:30
edwinnglabs pushed a commit that referenced this pull request Nov 26, 2020
edwinnglabs pushed a commit that referenced this pull request Nov 26, 2020
* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* minor changes

- allow plot components to take subset
- expose dof of gam

* fourier seris column order correction

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
edwinnglabs pushed a commit that referenced this pull request Dec 10, 2020
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
edwinnglabs pushed a commit that referenced this pull request Dec 10, 2020
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
edwinnglabs pushed a commit that referenced this pull request Dec 10, 2020
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
wangzhishi added a commit that referenced this pull request Dec 10, 2020
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* init commit for ktr-lite

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
wangzhishi added a commit that referenced this pull request Feb 11, 2021
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
wangzhishi added a commit that referenced this pull request Feb 11, 2021
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* init commit for ktr-lite

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
wangzhishi added a commit that referenced this pull request Feb 18, 2021
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
wangzhishi added a commit that referenced this pull request Feb 18, 2021
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* init commit for ktr-lite

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

* Refinement of KTR (#310)

* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
edwinnglabs pushed a commit that referenced this pull request Mar 27, 2021
* Add support for multiple prediction percentiles

* fixed unit tests

* data load wrappers (#248)

* data load wrappers

* parse date column

* Readme tutorial update (#264)

* apply data loader

* use DLT as example

* apply data loader

* add a button of "Edit on Github" (#265)

* add button for edit on github

* correct the sub-title

* upgrade pyro config

* update pyro requirement

* small update on fft utils

* enriching dataset

- more data load
- more dataset

* Update dataset.py

* small change on pyro-config

- make default total decay as 1.0 meaning no decay

* more fliexible plot components

* adding doc string

* refresh banner and icon

* read me link

* more banners

* testing new dim of banner

* Predict fix (#281)

* fix regressor matrix extraction

* unit test for cases with mixed pos&reg regressors

* adding logo and some style for tutorial and docs

* favicon

* initialize `_regressor_col` in __init__()

* small version bump

* fix matplotlib

* Create orbit.css

* reorder fourier series calculation to match the df (#286)

* plot utility enhancement (#287)

* return the plotting object

* receive returned plotting object to avoid dual display

* return plotting axes object

* Setup TravisCI deployment for PyPI (#292)

* Setup TravisCI deployment for PyPI

* debug deployment in travis YAML

* debug travis pypi deployment (#293)

* Debug travis package deployment (#294)

* setup.py and module uses same version number

* fix travis config for pypi deploy

* dpl v2 for travis config (#295)

* realign version number for module and release

In testing and configuring travis ci for pypi deployment, version numbers were misaligned. Realigning the version number here with the latest release version number.

* Update README.rst (#297)

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* Update README.rst

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* upgrade of models and using stan

- use linear kernel
- use stan map and mcmc
- allow outliers

* fix fourier series

* hotfix of pr and rr switch and fourier series shift

* Update ktr.py

* Dev gam pyro refine2 test2 (#311)

* changes

* testing the changes with iclaims example

* allow level_knots and seasonality_knots_input for the API

* remove unused arg

* Update ktr.py

Co-authored-by: Edwin Ng <edwinng@uber.com>

* tensor dtype assignment

* testing

* fix a bug in .get_regression_coefs

* trim level_knots accordingly when level_knot_dates outside the training range

Co-authored-by: Zhishi Wang <wangzhishi@users.noreply.github.com>
Co-authored-by: Steve Yang <steven.s.yang@gmail.com>
Co-authored-by: Zhishi Wang <zhishiw@uber.com>
Co-authored-by: Yifeng Wu <yifeng.wu@uber.com>
Co-authored-by: Steve Yang <steve.yang@uber.com>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

1 participant