class_docstr: Exponentiation transform base ** (coeff * x)
  This can for instance be used for to get a logarithmicly distruted values 10**(-[1, 2, 3]).
  
  Parameters
  ----------
  base: float
  coeff: float
class_docstr_tok: ["Exponentiation","transform","base","*","*","(","coeff","*","x",")","This","can","for","instance","be","used","for","to","get","a","logarithmicly","distruted","values","10","*","*","(","-","[","1",",","2",",","3","]",")",".","Parameters","--","--","--","--","--","base",":","float","coeff",":","float"]
code: def forward(self, x: np.ndarray) -> np.ndarray:
      return self.base ** (float(self.coeff) * x)
  
imports: import uuid
  import itertools
  import numpy
  from scipy import stats
  import nevergrad.common.typing
  from .None import utils
label_desc: Use image node_id 2 for calling the Exponentiate obj's underlying member method code with example usage: obj.forward(x) and returns: unknown