June release (#208)

* Cleanup notice (#206)

* add notice

* reformat

* Version 0.0.2 and ado artifact pipeline (#207)

* First Release of Forecasting Repo (#181)

* Handled edge case where ts_id_col_names is None

* Split long line into separate lines

* Added notebook template

* Added a test yml file

* Added yml file for python unit test pipeline

* Minor update

* Minor update

* Minor update

* Minor update

* Removed triggers

* Removed triggers

* Created a base ts estimator and inherit BaseTSFeaturizer from the BaseTSEstimator.

* Refactored featurizer class hierachy.

* Added week of month method.

* add script to source entire

* formatting

* source only test files

* Inherit temporal featurizers from BaseTSFeaturizer.

* Minor update.

* Replaced max_test_timestamp with max_horizon

* Refactored rolling window featurizers.

* Renamed hour_of_year feature to normalized_hour_of_year

* Inherit all normalizers from base normalizer class.

* address review comments for the PR of contributing

* minor update

* address review comments for PR of r test pipeline

* add a test yml file

* Remove checking target column existence, because testing data may not have the target column.

* Create setter and getter of ts_id_col_names.

* Fixed bug caused by unexpected behavior of pandas.shift

* Some code cleanup.

* Updated some featurizer names.

* Some minor changes in df_config and feature configs.

* Some minor changes in feature names.

* Added usage examples in docstring.

* Computation time update after feature engineering refactoring.

* Removed setting frequency.

* Added docstring to convert_to_tsdf function.

* Removed frequency in convert_to_tsdf call.

* Fixed week_of_month function.

* Added popularity featurizer

* Added utility function for checking Iterable but not string.

* Updated LightGBM feature engineering code to use new feature engineering classes.

* Improved checking whether input column names are Iterable and conver to list.

* Made future_value_available a read-only property.

* Minor docstring update.

* Removed extra space in docstring examples.

* Made some methods staticmethods.

* Minor QRF result update after feature engineering code change.

* Removed calling of validate_file and added catching of the exception

* Update python_unit_tests_base.yml for Azure Pipelines [skip ci]

Updated path of the test results

* Test if the download link is wrong

* Fixed minor format issues.

* Fixed minor format issues.

* Fixed formatting issues.

* Fixed line length.

* Removed data files before downloading and checked dimensions of energy data

* Removed the change made for testing

* Changed folder structure of tests and added table to show build status

* Added missing files

* Updated based on review comments

* new folder structure

* add repo metrics

* remove prototypes folder

* add models placeholder

* adjust featurizers to the new structure of folders

* changes in README and evaluation files

* adjust data download to new folders

* delete unnecessary files

* energy load baseline model with new folders

* delete data files

* fix links in benchmarks file

* fix bug

* adjust GBM, QRF and FNN submissions to the new folder structure

* Replace pd.to_timedelta with pd.offsets.

* Added get_offset_by_frequency helper function.

* fix small bugs

* fix small bugs

* Update TSCVSplitter.

* refactored high-level folders

* added a placeholder folder for PR/issue templates

* added subfolders under notebooks/

* updated tests folder

* renamed notebooks/ to examples/

* Update to CONTRIBUTING instructions (#34)

* style checking and formatting files

* git hook installation guide

* issue and PR templates

* minor change

*  working with github instructions

* added specific issue templates

* addressed PR comments

* addressed Chenhui's comment

* addressing chenhuis comments

* conda environment file (#36)

* conda environment file

* updated environment file

* updated instructions for installing conda env

* Vapaunic/lib (#37)

* initial core for forecasting library

* syncing with new structure

* __init__ files in modules

* renamed lib directory

* Added legal headers and some formatting of py files

* restructured benchmarking directory in lib

* fixed imports, warnings, legal headers

* more import fixes and legal headers

* updated instructions with package installation

* barebones library README

* moved energy benchmark to contrib

* formatting changes plus more legal headers

* Added license to the setup

* moved .swp file to contrib, not sure we need to keep it at all

* added missing headers and a brief snipet to README file

* minor wording change in readme

* Chenhui/cpu unit test pipeline (#38)

* address review comments

* added full conda path

* minor change

* added conda to PATH

* added build status in README

* removed energy data prep placeholder notebook

* moved out data energy explore notebook into contrib

* moved data download script to tools/

* Added getting started section to readme

* Added rbase and rbayesm to conda environment

* modified data download script

* added instructions for data download

* renamed data download script

* fixing issues with test pipeline

* parsing issue in yml file

* cleaning up ci test yaml file for more diagnostic info

* fixed a missing argument in instructions

* removed retail directory under dataset module

* moved feature_engineering.py to the feature engineering module

* moved evaluate.py to evaluation module

* combined benchmark settings into a single file

* moved download sript to the package and modified the tests

* modified instructions

* fixed the build pipeline yml

* fix to the pipeline yml

* fix to the pipeline yml

* moved serve_folds into ojdata.py

* removed data_schema.py file as all content moved to ojdata.py

* fixed split_train_test in ojdata.py

* moved retail_data_schema into ojdata.py

* moved all oj utilities to ojdata.py

* removed paths from benchmark_settings

* fixed up a docstring

* quick fix a typo

* removed benchmark_settings

* parameterized experiment settings

* refactored experiment settings

* Fixed docstrings

* addressed chenhuis comment around round file naming

* renamed experiment to forecast settings

* Chenhui/light gbm quick start (#40)

* initial example notebook for lightgbm

* reduced to one round forecast

* added text

* added text

* added text

* moved week_of_month to feature engineering utils

* moved df_from_cartesian_product to feature utils

* moved functions to feature utils

* moved functions to feature utils

* added lightgbm model utils

* updated plots

* added text and renamed predict function

* reduced print out frequency in model training

* moved data visualization code to utils

* added text

* updated plot function and added docstring

* renamed the notebook

* updated text

* added NOTICE file, currently empty as we're not redistributing any packages

* Chenhui/add scrapbook (#43)

* added scrapbook support

* Added gitpython to environtment.yml file

* added git_repo_path function to utils

* updated notebook

* added test for lightgbm notebook

* included testing of notebooks

* resolve test error

* resolve test error

* added kernel name

* updated kernel name

* trying installing bayesm from cmd

* trying installing bayesm from cmd

* trying installing bayesm from cmd

* excluded notebook test

* excluded notebook test

* added lapack.so link fix

* included notebook tests

* excluded files for notebook test

Co-authored-by: vapaunic <15053814+vapaunic@users.noreply.github.com>

* added integration test

* added initial data prep notebook

* updated notebook

* updated notebook

* updated notebook

* updated url

* init

* model parameters

* removed blank quick start notebooks

* removed blank modeling notebooks

* removed blank evaluation notebooks

* Removed blank model selection notebooks

* removed blank o16n notebooks

* removed outdated text from contrib/README

* removed outdated swp file

* updating .gitignore

* removed change log, as we don't plan to maintain this

* Excluding irrelevant directories

* fix settings

* separated out the setup guide

* fix settings

* simplemodel init

* typo

* add rproj file

* Renaming forecasting_lib to fclib (#59)

* renamed forecasting_lib directory

* modified references to forecasting_lib

* Vapaunic/envname (#61)

* renamed conda env

* modified setup instructions

* minor change in contributing guide

* keep top-level gitignore only

* formatting fixes

* Chenhui/add automl example (#62)

* added multiple linear models and example notebook for AutoML

* removed commented code

* address review comments

* minor update to the notebook

* minor update to the notebook

* added text

* changed types in lightgbm to be consistent with the rest of the code

* modified docstrings in multiple_linear_regression.py

* updated ci yaml files

* changed import statement in confest.py

* updated gitpython version to the latest

Co-authored-by: vapaunic <15053814+vapaunic@users.noreply.github.com>

* Vapaunic/split bug (#65)

* fixed a yield bug

* removed two blank files

* modified split data function to auto-calculate the splits based on the parameters

* removed forecast_settings module

* removed unused parameter

* modified splitting function to use non-overlapping testing

* tested the split function after the update

* minor fix

* defaults changed in split function

* modified lightgbm example with new split function

* modified automl example (needs verification)

* modified data explore notebook

* quick fix:

* updated data preparation notebook

* changed defaults in split function

* Addressed changes in lightgbm

* addressed issues in automl notebook

* fixed typo in lightgbm plot

* first images of time series split

* updated the pictures

* updated evaluation periods (#66)

* Chenhui/env setup script (#67)

* added a shell script for setting up environment

* changed yaml to yml

* added comments and updated SETUP.md

* modified data preparation notebook with images

* moved r exploration notebook to contrib directory

* modified data explore notebook, updated info about the data, and removed reference to TSPerf

* addressed review feedback and fixed the explore notebook

* Chenhui/multiround lightgbm (#68)

* added initial multiround notebook for lightgbm

* updated data splitting

* updated text

* updated week list

* addressed review comments

* added pyramid-automl to conda file

* first draft of arima notebook

* replace pyramid with pmdarima

* Added a complete function

* minor type

* forecasting across many stores/brands

* complete arima notebook

* renamed data preparation/exploration notebooks

* added git clone to setup

* addressed PR comments

* typo

* Arima to ARIMA

* fixed docstring in plot function

* fixed a bug in MAPE calculation and added plotting

* fixed a bug in predict

* modeling arima on log scale

* Fixing AML Example Notebook (#84)

* Cleaning notebook output, adding get_or_create workspace call, and fixing get_or_create AmlCompute

* Add regression-based models (#64)

* modelling updates

* code tweak

* rebuild

* update mape

* update mape 2

* new forecasting structure

* update eval

* rebuild dataprep

* rebuild with profit

* rm profit

* add plot

* typo

* tidy up

* expand readme

* oops

* clarified setup guide (#94)

* Update SETUP (#95)

minor fix

* Cleaned up unused files and directories (#96)

* removed non-used files

* moved docs into a docs/ dir

* fixed broken links

* Chenhui/dilated cnn example and utils (#76)

* added initial model util file for DCNN

* initial notebook

* added feature utils for DCNN

* upadted evaluation and visualization

* removed plot function

* replaced PRED_HORIZON, PRED_STEPS by HORIZON, GAP

* removed log dir if it exists

* updated model utils

* generalized categorical features in dcnn model util

* generalized network definition

* update training code

* format with blackcellmagic

* address review comments and added README

* Chenhui/add ci tests (#146)

* Update conda env with versions (#99)

* 💥

* revert

* minor changes

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* Adding missing Jupyter Extension (#90)

* Update environment.yml

* specified version

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* fix links to examples/ (#104)

* Chenhui/rename notebooks and update automl notebook (#106)

* removed unused module

* added outputs in automl notebook

* fixed a notebook name

* Arima multi-round notebook (#91)

* working arima model

* final auto arima example

* added tqdm to requirements

* addressed review comments

* Revert "Chenhui/rename notebooks and update automl notebook (#106)" (#107)

This reverts commit 032c91d9bfa389f22ae1f1f2150913a4f063bd18 [formerly 15d25213dc].

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* Fixing data download issue (#109)

* removed dependency on __file__ from data download, doesn't work in jupyter

* changed aux to auxdata

* fixe data download function

* fixed path

* auxdata -> auxi

* adding tl;dr directions for setup to README.md (#88)

* adding tl;dr directions for setup to README.md

* added a bit more text

* Cleaned up obsolete (tsperf) code in fclib (#112)

* moved out tsperf files from evaluation module

* moved out tsperf tuning code

* removed more unused files

* Addressing documentation related issues (#111)

* Added conda activate to the setup readme

* added instructions for starting jupyter to setup

* minor

* deleted duplicate instructions

* addressed PR comments

* Chenhui/rename notebooks and updated AutoML example (#108)

* removed unused module

* added outputs in automl notebook

* fixed a notebook name

* updated pytest file

* address review comments

* reran notebook with blackcellmagic

* adding pylint  (#93)

* adding tl;dr directions for setup to README.md

* removing pylint hook and pylint_junit from the env file

* removed pylint config file

* Chenhui/update example folder (#115)

* restructure examples folder

* updated readme

* added readme

* minor update

* removed R folder

* minor change

* fixed a broken link

* another broken link

* fixing notebook tests

* Chenhui/fix aux file path (#118)

* fixed figure links

* changed to auxi_i.csv

* minor change

* [MINOR] Small changes to Arima notebooks (#121)

* fixed a broken link

* minor text changes

* Documentation (#120)

* added target audience section

* added intro on forecasting

* Added fclib documentation

* improved examples readme

* address comments

* added info about the dataset

* added items to be ignored (#123)

* added items to be ignored

* added *.log and score.py

* Chenhui/toplevel readme (#127)

* added content table

* added references

* added external repo links

* minor update

* Chenhui/tune deploy lgbm (#122)

* added notebook and utils

* updated readme links

* fix data path

* updated text

* group imports

* minor update

* using azureml utils to create workspace and compute (#126)

* using azureml utils to create workspace and compute

* group imports

* Download ojdata directly from github (#128)

* new function to download and load oj data directly from bayesm repo

* removed bayesm

* new R function to only load the data

* removed download R function

* minor fix

* added documentation to load_oj_data.R

* added requests to requirements

* fixed a syntax error (#130)

* fix setup.md link (#129)

* fix setup.md link

* mention related use cases

* Vapaunic/cgbuild (#133)

* added files to generate reqs.txt and the ci yml file

* Added notice generation task

* Checking if notice is there

* Update component_governance.yml for Azure Pipelines

* check in notice file

* Update component_governance.yml for Azure Pipelines

* fixed heading

* Chenhui/windows setup (#131)

* initial test

* added batch script and instructions

* align image to center

* adjust image size

* added text

* adjust image size

* address comments

* Readds R material (#116)

* redo R stuff in new dirs

* dirname fixup

* add Rproj file

* rebuild

* fixups

* roxygenise

* copyright notice

* dataprep

* updated yaml

* more updates

* more tweaks

* reg models

* update reg models

* more updates

* reword

* rendered prophet html

* name fix

* add lintr file

* move stuff

* renamed use case folder (#138)

* renamed use case folder

* dirname change

* updated readme

* added notebooks

* fix ci test

* Vapaunic/featutils (#137)

* moved feature engineering module to contrib

* removed lag submod

* cleaned up feature engineering

* rebuild R notebooks (#139)

* Chenhui/toplevel readme (#140)

* added content table

* added references

* added external repo links

* minor update

* updated setup instructions

* added text

* align text

* removed duplicated Content section

* address review comments

* Chenhui/hyperdrive example update (#142)

* removed blackcellmagic

* removed utils under aml_scripts and updated notebook

* added notebook path

* added ci test of lightgbm multi round example

* make forecast round as parameter

* Make -Agent Name

* resolve duplicated function name

* increased time limit and reduce number of rounds

* increase time limit

* added parameters tag to multiround lightgbm and dilatedcnn

* README change (#147)

* minor change

* hide tags

* hide tags

* added parameters tag

* Revert "Chenhui/add ci tests (#146)" (#149)

This reverts commit de7a19cfa7637476b9ebfc92f5c18a26a8eca4da [formerly f8bd22733c].

* Chenhui/add ci tests (#150)

* Update conda env with versions (#99)

* 💥

* revert

* minor changes

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* Adding missing Jupyter Extension (#90)

* Update environment.yml

* specified version

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* fix links to examples/ (#104)

* Chenhui/rename notebooks and update automl notebook (#106)

* removed unused module

* added outputs in automl notebook

* fixed a notebook name

* Arima multi-round notebook (#91)

* working arima model

* final auto arima example

* added tqdm to requirements

* addressed review comments

* Revert "Chenhui/rename notebooks and update automl notebook (#106)" (#107)

This reverts commit 032c91d9bfa389f22ae1f1f2150913a4f063bd18 [formerly 15d25213dc].

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>

* Fixing data download issue (#109)

* removed dependency on __file__ from data download, doesn't work in jupyter

* changed aux to auxdata

* fixe data download function

* fixed path

* auxdata -> auxi

* adding tl;dr directions for setup to README.md (#88)

* adding tl;dr directions for setup to README.md

* added a bit more text

* Cleaned up obsolete (tsperf) code in fclib (#112)

* moved out tsperf files from evaluation module

* moved out tsperf tuning code

* removed more unused files

* Addressing documentation related issues (#111)

* Added conda activate to the setup readme

* added instructions for starting jupyter to setup

* minor

* deleted duplicate instructions

* addressed PR comments

* Chenhui/rename notebooks and updated AutoML example (#108)

* removed unused module

* added outputs in automl notebook

* fixed a notebook name

* updated pytest file

* address review comments

* reran notebook with blackcellmagic

* adding pylint  (#93)

* adding tl;dr directions for setup to README.md

* removing pylint hook and pylint_junit from the env file

* removed pylint config file

* Chenhui/update example folder (#115)

* restructure examples folder

* updated readme

* added readme

* minor update

* removed R folder

* minor change

* fixed a broken link

* another broken link

* fixing notebook tests

* Chenhui/fix aux file path (#118)

* fixed figure links

* changed to auxi_i.csv

* minor change

* [MINOR] Small changes to Arima notebooks (#121)

* fixed a broken link

* minor text changes

* Documentation (#120)

* added target audience section

* added intro on forecasting

* Added fclib documentation

* improved examples readme

* address comments

* added info about the dataset

* added items to be ignored (#123)

* added items to be ignored

* added *.log and score.py

* Chenhui/toplevel readme (#127)

* added content table

* added references

* added external repo links

* minor update

* Chenhui/tune deploy lgbm (#122)

* added notebook and utils

* updated readme links

* fix data path

* updated text

* group imports

* minor update

* using azureml utils to create workspace and compute (#126)

* using azureml utils to create workspace and compute

* group imports

* Download ojdata directly from github (#128)

* new function to download and load oj data directly from bayesm repo

* removed bayesm

* new R function to only load the data

* removed download R function

* minor fix

* added documentation to load_oj_data.R

* added requests to requirements

* fixed a syntax error (#130)

* fix setup.md link (#129)

* fix setup.md link

* mention related use cases

* Vapaunic/cgbuild (#133)

* added files to generate reqs.txt and the ci yml file

* Added notice generation task

* Checking if notice is there

* Update component_governance.yml for Azure Pipelines

* check in notice file

* Update component_governance.yml for Azure Pipelines

* fixed heading

* Chenhui/windows setup (#131)

* initial test

* added batch script and instructions

* align image to center

* adjust image size

* added text

* adjust image size

* address comments

* Readds R material (#116)

* redo R stuff in new dirs

* dirname fixup

* add Rproj file

* rebuild

* fixups

* roxygenise

* copyright notice

* dataprep

* updated yaml

* more updates

* more tweaks

* reg models

* update reg models

* more updates

* reword

* rendered prophet html

* name fix

* add lintr file

* move stuff

* renamed use case folder (#138)

* renamed use case folder

* dirname change

* updated readme

* added notebooks

* fix ci test

* Vapaunic/featutils (#137)

* moved feature engineering module to contrib

* removed lag submod

* cleaned up feature engineering

* rebuild R notebooks (#139)

* Chenhui/toplevel readme (#140)

* added content table

* added references

* added external repo links

* minor update

* updated setup instructions

* added text

* align text

* removed duplicated Content section

* address review comments

* Chenhui/hyperdrive example update (#142)

* removed blackcellmagic

* removed utils under aml_scripts and updated notebook

* added notebook path

* added ci test of lightgbm multi round example

* make forecast round as parameter

* Make -Agent Name

* resolve duplicated function name

* increased time limit and reduce number of rounds

* increase time limit

* added parameters tag to multiround lightgbm and dilatedcnn

* README change (#147)

* minor change

* hide tags

* hide tags

* added parameters tag

* Revert "Chenhui/add ci tests (#150)" (#151)

This reverts commit 357453234088f2ebb8453bd8cd77527a1c6c2130 [formerly 21846168a7].

* Chenhui/Add CI tests for notebooks

This reverts commit 8a99549da8b9096b65130fd2f6634e2a217b2dd9 [formerly 89e986fe2c].

* minor update

* Added CI tests for example notebooks

* Update component governance pipeline

* Update component governance pipeline

* add ignored items

* Readds R material (#116)

* Chenhui/windows setup (#131)

* Vapaunic/featutils (#137)

* Chenhui/add CI tests for notebooks

* Vapaunic/arimaint (#154)


* modified conftests to add arima

* added tests

* modified notebooks with parameters

* Chenhui/code improvments (#157)

* updated docstring

* pinged package versions

* minor improvements

* minor improvement

* modified metrics to take any iterable (#158)

* improvement: using Ray to parallelize arima fitting (#159)

* using Ray to parallelize arima fitting

* added ray as dependency

* text about ray, disable warnings, and minor stuff

* scipy 1.4.1 or above

* reverting scipy, azuremlsdk issue

* minor mod

Co-authored-by: Vanja Paunic <15053814+vapaunic@users.noreply.github.com>

* chenhui/improve ray output (#166)

* modified arima multiround to run with ray (#167)

* Chenhui/improve doc (#168)

* minor changes

* remove redundancy

* updated text

* improved text in model tuning and deployment notebook

* clarify the data used

* updated text

* added description of the script

* add explanation of gaps in the curve

* add explanation of gaps in the curve

* updated text

* fix typos

* improve documentation and format

* Addressing a few issues around package dependencies (#169)

* syncronizing utils with other OSS AI repos

* exclude xlrd, leftover from tsperf

* exclude urlib3, leftover from tsperf

* moving tqdm to fclib as only used by lib at the moment

* included fclib dependencies in requirements.txt

* lower bounded package versions that we dont need specific versions of

* lower bound gitpython

* Chenhui/improve checking of run completion (#170)

* Chenhui/added ray dashboard (#171)

* Chenhui/update diagram (#172)

* update multiround training diagram

* minor change

* update diagram and minor change

* Addressing doc related issues (#173)

* taking out inventory optimization link

* pulled contributing out of docs

* Chenhui/ray windows (#177)

* add util to check if module exists

* use ray if available or use sequential training

* updated text

* updated text

* reduce code redundancy

* Chenhui/setup scripts (#178)

* move ray to linux setup script

* remove duplicated azureml-sdk to avoid errors

* add ray to ci yaml files

* update azureml-sdk

* update manual setup instructions

* minor change

* Chenhui/content table (#179)

* update readme

* minor change

* minor update

* Chenhui/multiround arima (#180)

* use ray if it is installed

* update text and reran notebook

* add reference

* Chenhui/dilatedcnn windows (#184)

* resolve format issues

* update log path and tensorboard path

* remove subprocess import

* fix path

* change env name to resolve pipeline failures

* Chenhui/hyperdrive windows (#185)

* resolve format issues

* update log path and tensorboard path

* remove subprocess import

* fetch common utils from chenhui/dilatedcnn_windows

* update notebook

* removed explain module and added notebooks module

* get updated ci yml files

* updated kernel name

* Chenhui/enhancement (#186)

* modified module_path

* updated tensorboard section

* rerun notebook

* only submit local run if python path is found

* minor change and rerun notebook

* updated content section (#187)

* updated content section

* minor change

* address comments

* add links

Co-authored-by: Hong Lu <honglu@microsoft.com>
Co-authored-by: ZhouFang928 <ZhouFang928@users.noreply.github.com>
Co-authored-by: pechyony <pechyony@outlook.com>
Co-authored-by: Ubuntu <chenhui@chhdsvmnc6.hyjxgt1qggauhj0g0g2jh3guwb.bx.internal.cloudapp.net>
Co-authored-by: vapaunic <15053814+vapaunic@users.noreply.github.com>
Co-authored-by: Hong Ooi <hongooi@microsoft.com>
Co-authored-by: Daniel Ciborowski <dciborow@microsoft.com>
Co-authored-by: Markus Cozowicz <marcozo@microsoft.com>
Former-commit-id: 6098ecf68c

* Updates to R Markdown notebooks (#189)

* urca package dependency

* Instructions to install fable.prophet

* add urca as requirement

* add urca to all rmds

Co-authored-by: Hong Ooi <hongooi@microsoft.com>
Former-commit-id: 5ca9eeb7b1

* Set theme jekyll-theme-cayman

Former-commit-id: 4559509c7677936b45ef6fbcb7e6fefa12b36c05

* Add retail_turnover example, cleanup contrib folder (#203)

* Removing tsperf files from contrib/ (#199)

* removed tsperf from contrib directory

* modified contrib/readme

* address PR comments

* Hongooi/fable intro (#200)

Adds an introductory example that goes over the basics of time series analysis, using the tsibbledata::aus_retail dataset. Includes discussion on forecasting in general. Closes #57

* Tidyverts update (#202)

Updates the R code in the examples for the latest tidyverts package versions on CRAN.

Co-authored-by: vapaunic <15053814+vapaunic@users.noreply.github.com>
Former-commit-id: b98487f42c701e956e0301b33ec87827645b727d

* incremented version number

* tensorflow version to three digits

* tests/ci/ado_artifact_pipeline.yml

Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>
Co-authored-by: Hong Lu <honglu@microsoft.com>
Co-authored-by: ZhouFang928 <ZhouFang928@users.noreply.github.com>
Co-authored-by: pechyony <pechyony@outlook.com>
Co-authored-by: Ubuntu <chenhui@chhdsvmnc6.hyjxgt1qggauhj0g0g2jh3guwb.bx.internal.cloudapp.net>
Co-authored-by: Hong Ooi <hongooi@microsoft.com>
Co-authored-by: Daniel Ciborowski <dciborow@microsoft.com>
Co-authored-by: Markus Cozowicz <marcozo@microsoft.com>
Co-authored-by: David Smith <davidsmi@microsoft.com>

* Minor update to README (#209)

Co-authored-by: Hong Ooi <hongooi@microsoft.com>
Co-authored-by: Chenhui Hu <chenhhu@microsoft.com>
Co-authored-by: Hong Lu <honglu@microsoft.com>
Co-authored-by: ZhouFang928 <ZhouFang928@users.noreply.github.com>
Co-authored-by: pechyony <pechyony@outlook.com>
Co-authored-by: Ubuntu <chenhui@chhdsvmnc6.hyjxgt1qggauhj0g0g2jh3guwb.bx.internal.cloudapp.net>
Co-authored-by: Daniel Ciborowski <dciborow@microsoft.com>
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Co-authored-by: David Smith <davidsmi@microsoft.com>

README.md

@@ -6,6 +6,10 @@ This repository provides examples and best practice guidelines for building fore
 
 The examples and best practices are provided as [Python Jupyter notebooks and R markdown files](examples) and [a library of utility functions](fclib). We hope that these examples and utilities can significantly reduce the “time to market” by simplifying the experience from defining the business problem to the development of solutions by orders of magnitude. In addition, the example notebooks would serve as guidelines and showcase best practices and usage of the tools in a wide variety of languages.
 
+## Cleanup notice (2020-06-23)
+
+> We've carried out a cleanup of large obsolete files to reduce the size of this repo. If you had cloned or forked it previously, please delete and clone/fork it again to avoid any potential merge conflicts.
+
 
 ## Content
 

fclib/fclib/__version__.py

@@ -1,4 +1,4 @@
 # Copyright (c) Microsoft Corporation.
 # Licensed under the MIT License.
 
-__version__ = "0.0.1"
+__version__ = "0.0.2"

fclib/requirements.txt

@@ -5,6 +5,6 @@ numpy==1.16.2
 requests>=2.23.0
 tqdm>=4.43.0
 matplotlib>=3.1.2
-tensorflow==2.0
+tensorflow==2.0.0
 gitpython>=3.0.8
 azureml-sdk==1.0.85

tests/ci/ado_artifact_pipeline.yml

@@ -0,0 +1,43 @@
+# Source: https://docs.microsoft.com/en-us/azure/devops/pipelines/tasks/package/twine-authenticate?view=azure-devops#publish-python-distribution-to-azure-artifacts-feed
+
+trigger:
+- master
+
+jobs:
+- job: Artifact
+  displayName: 'Create test artifact'
+  pool:
+    vmImage: 'ubuntu-16.04'
+
+  steps:
+
+  # Python version
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.6.10'
+      architecture: 'x64'
+    displayName: 'Use Python 3.6.10'
+
+  # Install python distributions like wheel, twine etc
+  - script: |
+      pip install wheel twine keyring artifacts-keyring
+      pip list
+    displayName: 'Install dependencies'
+  
+  # Build the python distribution from source
+  - script: |
+      cd fclib
+      python setup.py sdist bdist_wheel
+    displayName: 'Build wheel'
+  
+  # Specify artifactFeed as ProjectName/FeedName. Project is needed because the feed is project scoped.
+  - task: TwineAuthenticate@1
+    inputs:
+      artifactFeed: Azure Global CAT Engineering/forecasting
+    displayName: 'Twine Authenticate'
+
+  # Use command line script to 'twine upload', use -r to pass the repository name and --config-file to pass the environment variable set by the authenticate task.
+  - script: |
+      cat $(PYPIRC_PATH)
+      python -m twine upload -r forecasting --config-file $(PYPIRC_PATH) fclib/dist/*.whl --verbose
+