makeSimulationData.py

# -*- coding: utf-8 -*-
"""
Created on Thu Oct 13 14:07:38 2016
@author: a-noda
"""

import numpy as np
data=np.random.randn(3*10000,1000).astype(np.float32)

y=0
y+=(data[:,20]+0.5)*(data[:,30]-0.4)* (data[:,40]+0.3) 
y+=(data[:,50]+0.25)*(data[:,60]-0.15)* (data[:,70]+0.05) 
y+=(data[:,80]+0.3)*(data[:,90]-0.2)* (data[:,100]+0.1) 
y+=(data[:,110]-0.2)*(data[:,120]+0.1)* (data[:,130]-0.0) 
tar=np.zeros(data.shape[0],dtype=np.int32)
tar[np.nonzero(y< 0)[0]]=1

np.savez("sim.npz",inputs=data,tars=tar)



#
#To load  sim.npz file  do like this.
#
def load(file):
    f=np.load(file)
    inputs=f['inputs']
    inputs=inputs.astype(np.float32)    
    tars=f['tars'].astype(np.int32) 
    tidx,=np.nonzero(np.arange(inputs.shape[0])%10 == 0)
    lidx,=np.nonzero(np.arange(inputs.shape[0])%10 != 0)
    
    #input data L is for Learn T is for test 
    Linputs=inputs[lidx,:]
    Tinputs=inputs[tidx,:]
    #label data L is for Learn T is for test
    Ltars=tars[lidx]
    Ttars=tars[tidx]
    return Linputs,Ltars,Tinputs,Ttars