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Update package support in base env.
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apps/wpf_baseline_gru/kddcup22-sdwpf-evaluation/README.md

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4. Packages installed via the pip-requirements.txt
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1) [base environment](runtime-installed-pkgs/base.md) (UPDATED on 2022/06/05)
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1) [base environment](runtime-installed-pkgs/base.md) (UPDATED on 2022/06/08)
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2) [paddlapaddle environment](runtime-installed-pkgs/paddle.md) (UPDATED on 2022/05/27)
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3) [pytorch environment](runtime-installed-pkgs/pytorch.md) (UPDATED on 2022/06/04)
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4) [tensorflow environment](runtime-installed-pkgs/tensorflow.md)

apps/wpf_baseline_gru/kddcup22-sdwpf-evaluation/paddlepaddle/evaluation.py

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# which also indicates that the performance is probably poor and not robust
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print('\n\tThe {}-th prediction -- '
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'RMSE: {}, MAE: {}, and Accuracy: {}'.format(i, tmp_mae, tmp_rmse, tmp_acc))
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raise EvaluationError("Accuracy ({}) is lower than Zero, which means that "
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"the RMSE (in latest 24 hours) of the {:04d}-th prediction "
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raise EvaluationError("Accuracy ({:.3f}) is lower than Zero, which means that "
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"the RMSE (in latest 24 hours) of the {}th prediction "
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"is too large!".format(tmp_acc, i))
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else:
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print('\n\tThe {}-th prediction -- '
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| Package | Version |
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|-------------|---------|
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| catboost | 0.25.1 |
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| statsmodels | 0.12.2 |
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| mxnet | 1.9.1 |
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| pypmml | 0.9.16 |
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| Package | Version |
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|---------------|----------|
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| catboost | 0.25.1 |
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| h2o | 3.36.1.2 |
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| mxnet | 1.9.1 |
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| prophet | 1.0.1 |
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| pypmml | 0.9.16 |
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| scikit-fda | 0.7.1 |
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| skforecast | 0.4.3 |
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| sktime | 0.11.4 |
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| statsmodels | 0.12.2 |

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