forked from moreo/QuaPy
running all experiments
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@ -139,9 +139,8 @@ if __name__ == '__main__':
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print(f'Result folder: {args.results}')
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print(f'Result folder: {args.results}')
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np.random.seed(0)
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np.random.seed(0)
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#optim_losses = ['mae', 'mrae']
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optim_losses = ['mae', 'mrae']
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optim_losses = ['mae']
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datasets = qp.datasets.TWITTER_SENTIMENT_DATASETS_TRAIN
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datasets = ['hcr'] # qp.datasets.TWITTER_SENTIMENT_DATASETS_TRAIN
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models = quantification_models()
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models = quantification_models()
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results = Parallel(n_jobs=settings.N_JOBS)(
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results = Parallel(n_jobs=settings.N_JOBS)(
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