https://github.com/antoinecarme/pyaf
- HEAD
- refs/heads/2.0-Fixes
- refs/heads/3.0-RC
- refs/heads/30_improved_plots
- refs/heads/4.0-rc1
- refs/heads/4.0-rc2
- refs/heads/4.0-rc3
- refs/heads/4.0-rc4
- refs/heads/5.0-Fixes
- refs/heads/5.0-Profiling
- refs/heads/5.0-rc1
- refs/heads/5.0-rc2
- refs/heads/5.0-rc3
- refs/heads/Complexity_Computations
- refs/heads/Exogenous_Variables_Scale_issue_198
- refs/heads/HourOfWeek
- refs/heads/Kendall_MWU_KS_Perfs
- refs/heads/LSTMX_MLPX
- refs/heads/LightGBM
- refs/heads/LnQ
- refs/heads/MASE_RMSSE
- refs/heads/Python_39_support
- refs/heads/R_modeling
- refs/heads/Temporal_Hierarchy
- refs/heads/Warning_weekofyear_fix
- refs/heads/after_3.0_tests
- refs/heads/antoinecarme-CodeQL-update
- refs/heads/arm64-ci-tests
- refs/heads/circleci-editor/359/5.0-Fixes
- refs/heads/circleci-project-setup
- refs/heads/complex_seasonality
- refs/heads/croston
- refs/heads/croston_issue_182
- refs/heads/cyclics_automated_tests
- refs/heads/double_check_exogenous_data
- refs/heads/experimental_nogil_issue_177
- refs/heads/heroku-deploy
- refs/heads/heroku-deploy2
- refs/heads/heroku-tests
- refs/heads/hierarchical_exog
- refs/heads/issue_179_cumprod_overflow
- refs/heads/issue_190_reindexing
- refs/heads/issue_213_Large_Horizon_Models
- refs/heads/master
- refs/heads/missing_data
- refs/heads/model_esthetics
- refs/heads/numpy_20_and_pandas_30_impact
- refs/heads/outliers_support
- refs/heads/pandas_warning_issue_93
- refs/heads/parallelization_improvement
- refs/heads/powerpc64
- refs/heads/probabilistic_forcasting_tests
- refs/heads/profiling_session_before_2_0_release
- refs/heads/profiling_session_before_2_0_release_round_2
- refs/heads/pyaf_40_profiling
- refs/heads/pyaf_xgboost
- refs/heads/pypi-installer
- refs/heads/python_311_support
- refs/heads/select_AR_lags_issue_85
- refs/heads/time_column_normalization_issue_121
- refs/heads/transform
- refs/heads/transformation_tests
- refs/heads/travis-ci-tests
- refs/heads/ts_cross_val
- refs/heads/ts_sampling
- refs/heads/xeon-phi
- refs/original/refs/heads/master
- refs/tags/1,1
- refs/tags/1,2
- refs/tags/1.0
- refs/tags/1.0-RC1
- refs/tags/1.2.2
- refs/tags/1.2.3
- refs/tags/1.2.4
- refs/tags/2.0
- refs/tags/2.0-RC
- refs/tags/3.0
- refs/tags/3.0-rc1
- refs/tags/4.0
- refs/tags/4.0-rc1
- refs/tags/5.0
- refs/tags/5.0-rc2
- refs/tags/5.0-rc3
- refs/tags/v0.1-alpha
- refs/tags/v0.2-alpha
- refs/tags/v0.3-alpha
No releases to show
Raw File
Take a new snapshot of a software origin
If the archived software origin currently browsed is not synchronized with its upstream version (for instance when new commits have been issued), you can explicitly request Software Heritage to take a new snapshot of it.
Use the form below to proceed. Once a request has been submitted and accepted, it will be processed as soon as possible. You can then check its processing state by visiting this dedicated page.Processing "take a new snapshot" request ...
Permalinks
To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.
Tip revision: 6bc4281539f413e087e47cd822fddb4b65c02f0f authored by Antoine CARME on 19 March 2022, 15:50:07 UTC
Updated this test
Updated this test
Tip revision: 6bc4281
AUTHORS.rst
History
-------
This project was started in summer 2016 as a POC to check the feasibilty of an automatic forecasting tool based only on python availabe data science software (numpy, scipy, pandas, scikit-learn etc).
Contributions are welcome.
People
------
.. hlist::
* `Antoine Carme <antoine.carme@laposte.net>`_