scores
scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
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Download Latest Version (.zip)- environment.yml
- postBuild
- feature_request.md
- new_score.md
- python-app.yml
- run-pre-commit.yml
- pull_request_template.md
- angular_data_thumbnail.png
- binary_contingency_thumbnail.png
- block_bootstrapping_thumbnail.png
- brier_thumbnail.png
- diebold_mariano_thumbnail.png
- dimension_handling_thumbnail.png
- fss_thumbnail.png
- Images_for_tutorial_gallery_thumbnails.ipynb
- isotonic_regression.png
- isotonic_regression_thumbnail.png
- NSE_thumbnail.png
- qq_thumbnail.png
- quantile_interval_score_and_interval_score_thumbnail.png
- quantile_loss_thumbnail.png
- risk_matrix.png
- threshold_weighted_scores_thumbnail.png
- twCRPS_for_ensembles_thumbnail.png
- Additive_and_multiplicative_bias.ipynb
- Angular_data.ipynb
- Binary_Contingency_Scores.ipynb
- Block_Bootstrapping.ipynb
- Brier_Score.ipynb
- Consistent_Scores.ipynb
- CRPS_for_CDFs.ipynb
- CRPS_for_Ensembles.ipynb
- Diebold_Mariano_Test_Statistic.ipynb
- Dimension_Handling.ipynb
- Energy_Budgets.ipynb
- FIRM.ipynb
- First_Data_Fetching.ipynb
- Flip_Flop_Index.ipynb
- Fractions_Skill_Score.ipynb
- Isotonic_Regression_And_Reliability_Diagrams.ipynb
- Kling_Gupta_Efficiency.ipynb
- Mean_Absolute_Error.ipynb
- Mean_Squared_Error.ipynb
- Murphy_Diagrams.ipynb
- NSE.ipynb
- Pandas_API.ipynb
- Pearsons_Correlation.ipynb
- Percent_Within_X.ipynb
- PIT.ipynb
- Q-Q_plots.ipynb
- Quantile_Interval_And_Interval_Score.ipynb
- Quantile_Loss.ipynb
- Rank_Histogram.ipynb
- README.md
- Relative_Economic_Value_Score.ipynb
- Risk_Matrix_Score.ipynb
- ROC.ipynb
- Root_Mean_Squared_Error.ipynb
- SEEPS.ipynb
- Spearmans_Correlation.ipynb
- Threshold_Weighted_CRPS_for_Ensembles.ipynb
- Threshold_Weighted_Scores.ipynb
- Tutorial_Gallery.ipynb
- Weighting_Results.ipynb
- api.md
- conf.py
- contributing.md
- data.md
- included.md
- index.md
- installation.md
- key_features.md
- maintainer.md
- related_works.md
- release_notes.md
- requirements.txt
- SECURITY.md
- __init__.py
- binary_impl.py
- contingency_impl.py
- multicategorical_impl.py
- risk_matrix_impl.py
- __init__.py
- correlation_impl.py
- __init__.py
- consistent_impl.py
- flip_flop_impl.py
- interval_impl.py
- nse_impl.py
- quantile_loss_impl.py
- standard_impl.py
- threshold_weighted_impl.py
- __init__.py
- budgets_utils.py
- energetics_impl.py
- __init__.py
- __init__.py
- backend.py
- fss_backends.py
- fss_numba.py
- fss_numpy.py
- typing.py
- __init__.py
- __init__.py
- continuous.py
- typing.py
- __init__.py
- murphy_impl.py
- qq_impl.py
- rev_impl.py
- roc_impl.py
- __init__.py
- auc_impl.py
- brier_impl.py
- checks.py
- crps_impl.py
- crps_numba.py
- pit_impl.py
- rank_hist_impl.py
- __init__.py
- cdf_functions.py
- __init__.py
- aggregation.py
- block_bootstrap_impl.py
- discretise.py
- isoreg_impl.py
- matching.py
- __init__.py
- fss_impl.py
- __init__.py
- acovf.py
- diebold_mariano_impl.py
- __init__.py
- __init__.py
- functions.py
- sample_data.py
- typing.py
- utils.py
- __init__.py
- multicategorical_test_data.py
- risk_matrix_test_data.py
- test_binary.py
- test_contingency.py
- test_multicategorical.py
- test_risk_matrix.py
- tests_init__.py
- __init__.py
- flip_flop_test_data.py
- quantile_interval_score_test_data.py
- quantile_loss_test_data.py
- test_consistent.py
- test_correlation.py
- test_flip_flop.py
- test_nse.py
- test_quantile_interval.py
- test_quantile_loss.py
- test_standard.py
- test_threshold_weighted.py
- __init__.py
- test_energetics.py
- __init__.py
- __init__.py
- test_continuous.py
- rev_test_data.py
- roc_test_data.py
- test_murphy.py
- test_plot_rank_histogram.py
- test_qq.py
- test_rev.py
- test_roc.py
- __init__.py
- brier_test_data.py
- cdf_test_data.py
- crps_test_data.py
- pit_test_data.py
- test_brier.py
- test_checks.py
- test_crps.py
- test_pit.py
- test_rank_hist.py
- test_roc_auc.py
- __init__.py
- functions_test_data.py
- test_functions.py
- __init__.py
- isoreg_test_data.py
- test_aggregation.py
- test_block_bootstrap.py
- test_data.py
- test_discretise.py
- test_isoreg.py
- test_matching.py
- __init__.py
- fss_test_data.py
- test_fss.py
- __init__.py
- test_acovf.py
- test_diebold_mariano.py
- __init__.py
- test_functions.py
- test_sample_data.py
- test_typing.py
- test_utils.py
- utils_test_data.py
- .gitignore
- .pre-commit-config.yaml
- .zenodo.json
- CITATION.cff
- CODE_OF_CONDUCT.md
- commit_template.txt
- environment.yml
- hatch_build.py
- LICENSE
- NOTICE.md
- py.typed
- pyproject.toml
- README.md
- readthedocs.yaml
- setup.cfg
# Installation Guide
1. Get the code
git clone https://github.com/nci/scores
Downloads the entire project code from GitHub to your computer.
cd scores
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install scores
Installs the package published on PyPI directly โ no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install -e ".[all]"
Installs the Python libraries listed in requirements.txt (or similar).
pip install scores
Installs the package published on PyPI directly โ no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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