forked from moreo/QuaPy
all datasets for the experiments
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@ -119,7 +119,7 @@ if __name__ == '__main__':
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np.random.seed(0)
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optim_losses = ['mae', 'mrae']
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datasets = ['hcr']#qp.datasets.TWITTER_SENTIMENT_DATASETS_TRAIN
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datasets = qp.datasets.TWITTER_SENTIMENT_DATASETS_TRAIN
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models = quantification_models()
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results = Parallel(n_jobs=n_jobs)(
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