Method predict

rl/approx_prediction.py:55–57

(self, s)

    self.w = np.zeros(dims)

  def predict(self, s):
    x = self.featurizer.transform([s])[0]
    return x @ self.w

  def grad(self, s):
    x = self.featurizer.transform([s])[0]