def __init__(self, scaler_algo = DEFAULT_SCALER_ALGO, beta=DEFAULT_BETA):
		'''
		Parameters
		----------
		scaler_algo : str
			Function that scales an array to a range \in [0 and 1]. Use 'percentile', 'normcdf'. Default normcdf.
		beta : float
			Beta in (1+B^2) * (Scale(P(w|c)) * Scale(P(c|w)))/(B^2*Scale(P(w|c)) + Scale(P(c|w))). Defaults to 1.
		'''
		self.scaler_algo = scaler_algo
		self.beta = beta

		Parameters
		----------
		scaler_algo : str
			Function that scales an array to a range \in [0 and 1]. Use 'percentile', 'normcdf'. Default normcdf.
		beta : float
			Beta in (1+B^2) * (Scale(P(w|c)) * Scale(P(c|w)))/(B^2*Scale(P(w|c)) + Scale(P(c|w))). Defaults to 1.
		
scattertext/termsignificance/ScaledFScoreSignificance.py