forked from moreo/QuaPy
all datasets
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@ -141,7 +141,7 @@ if __name__ == '__main__':
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qp.environ['SVMPERF_HOME'] = args.svmperfpath
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qp.environ['SVMPERF_HOME'] = args.svmperfpath
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optim_losses = ['mae']
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optim_losses = ['mae']
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datasets = qp.datasets.UCI_DATASETS[:4]
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datasets = qp.datasets.UCI_DATASETS
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models = quantification_models()
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models = quantification_models()
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qp.util.parallel(run, itertools.product(optim_losses, datasets, models), n_jobs=N_JOBS)
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qp.util.parallel(run, itertools.product(optim_losses, datasets, models), n_jobs=N_JOBS)
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