Changing from snaps to mape
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@ -326,7 +326,7 @@ def get_point_statistics(data, model, **kwargs):
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nforecasts = np.array(forecasts[:-1])
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nforecasts = np.array(forecasts[:-1])
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ret.append(np.round(rmse(ndata[model.order:], nforecasts), 2))
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ret.append(np.round(rmse(ndata[model.order:], nforecasts), 2))
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ret.append(np.round(smape(ndata[model.order:], nforecasts), 2))
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ret.append(np.round(mape(ndata[model.order:], nforecasts), 2))
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ret.append(np.round(UStatistic(ndata[model.order:], nforecasts), 2))
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ret.append(np.round(UStatistic(ndata[model.order:], nforecasts), 2))
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else:
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else:
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steps_ahead_sampler = kwargs.get('steps_ahead_sampler', 1)
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steps_ahead_sampler = kwargs.get('steps_ahead_sampler', 1)
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@ -338,7 +338,7 @@ def get_point_statistics(data, model, **kwargs):
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start = model.order + steps_ahead -1
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start = model.order + steps_ahead -1
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ret.append(np.round(rmse(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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ret.append(np.round(rmse(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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ret.append(np.round(smape(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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ret.append(np.round(mape(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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ret.append(np.round(UStatistic(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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ret.append(np.round(UStatistic(ndata[start:-1:steps_ahead_sampler], nforecasts), 2))
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return ret
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return ret
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