gpEMOC/reweighting/reweightNone.py

#! /usr/bin/python

import numpy

import sys
import os
sys.path.append(os.path.join(os.path.abspath(os.path.dirname(__file__)),os.pardir))
import helperFunctions

class Reweighter:
    
  def __init__(self,configFile=None):
   
    return None  
  
  
  # X.shape = (number of samples, feat dim), y.shape = (number of samples, 1)
  def train(self, X, y):    
   
    return None  
    
    
  # x.shape = (1, feat dim), y.shape = (1, 1)
  def update(self, x, y):
   
    return None      
    
    
  # X.shape = (number of samples, feat dim)
  def infer(self, x, k=None):
  
    return numpy.asmatrix(numpy.zeros(x.shape[0],1))


  # X.shape = (number of samples, feat dim)
  def reweight(self, alScores, x, k=None):
  
    return alScores
  
  
  # X.shape = (number of samples, feat dim)
  def calcSigmaF(self, x, k=None, selfK=None):
    
    return numpy.asmatrix(numpy.zeros(x.shape[0],1))