* 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
0607fd568f