Coverage for /Users/mschultzberg/PycharmProjects/confidence/spotify_confidence/analysis/frequentist/confidence_computers/bootstrap_computer.py : 50%

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return row[self._bootstrap_samples].mean()
variance = row[self._bootstrap_samples].var()
if variance < 0: raise ValueError('Computed variance is negative. ' 'Please check your inputs.') return variance
return None
row[CI_LOWER] = np.percentile(row[self._bootstrap_samples], 100*(1 - self._interval_size) / 2) row[CI_UPPER] = np.percentile(row[self._bootstrap_samples], 100*(1 - (1-self._interval_size) / 2)) return row
return -1
differences = row[self._bootstrap_samples + SFX2] - row[self._bootstrap_samples + SFX1] lower = np.percentile(differences, 100*row[alpha_column] / 2) upper = np.percentile(differences, 100*(1 - row[alpha_column] / 2)) return lower, upper
df: DataFrame, mde: float, alpha: float) -> DataFrame: return None |