Merging Reproducibility and Sampling Features #346
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…rking for multitask models). This fixed a more general issue with predicting from multitask models with uncertainty, where the prediction array was being reshaped incorrectly. Also, changed the handling of the 'verbose' parameter in the create_prediction_pipeline functions so that the original log level is restored after pipeline creation.
…st_per_pfm updated test class calling pfm
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Merging to add the seed and random state and sampling features to AMPL. For more details on specifics, look at PR #344.