class SquareTest(Objective):
def __init__(self, y_prediction_df, y_target_df):
self.loss = Square(y_prediction_df.get_matrix(),y_target_df.get_matrix())
self.n = y_target_df.shape[0]
self.yt_df = y_target_df
def f(self): return np.mean(self.loss.f())
def g(self): return self.loss.g()/self.n
def h(self): pass
@staticmethod
def structure(y_target_df): return y_target_df.rows(),y_target_df.cols()
class SquareTest(Objective):
def __init__(self, y_prediction_df, y_target_df):
self.loss = Square(y_prediction_df.get_matrix(),
y_target_df.get_matrix())
self.n = y_target_df.shape[0]
self.yt_df = y_target_df
def f(self):
return np.mean(self.loss.f())
def g(self):
return self.loss.g() / self.n
def h(self):
pass
@staticmethod
def structure(y_target_df):
return y_target_df.rows(), y_target_df.cols()
def __init__(self, y_prediction_df, y_target_df):
self.loss = Square(y_prediction_df.get_matrix(),y_target_df.get_matrix())
self.n = y_target_df.shape[0]
self.yt_df = y_target_df
def __init__(self, y_prediction_df, y_target_df):
self.loss = Square(y_prediction_df.get_matrix(),
y_target_df.get_matrix())
self.n = y_target_df.shape[0]
self.yt_df = y_target_df