Python discretize_mat Examples

Example #1

File: test_gen4.py Project: jfk178/ml_code

# 1 sleep, 2 diet, 3 exercise, 5 gd.get_weight0
nd = 4

#
data_mat = np.zeros( ( nn, nd ), float )

#
for rr in xrange( nn ) :
	#
	sleep, diet, exercise = 2 * nr.random( 3 ) - 1
	#
	data_mat[ rr ] = sleep, diet, exercise, gd.get_weight1( normal_w, sleep, diet, exercise, w_var )



#
nq_list = [ 3 for xx in xrange(nd) ]

#
int_mat = gd.discretize_mat( data_mat, nq_list )
print int_mat[ :10 ]

#
mat_file = "../data/dummy_B_discrete_data0.tab"
var_id_list = range( nd ) 

#
gd.write_tab_data( int_mat, mat_file, var_id_list )

Example #2

File: test_gen1.py Project: jfk178/ml_code

        exercise,
        age,
        gp.get_weight0(normal_w, stress, sleep, diet, exercise, w_var, age, young, old),
    )


#
print data_mat[:10]


#
nq = 4
print gp.get_quantile_limits0(data_mat[:, 0], nq)


#
nn = 20
nd = 4

#
float_mat = nr.random((nn, nd))
print float_mat

#
nq_list = [2 + xx for xx in xrange(nd)]
print nq_list

#
int_mat = gp.discretize_mat(float_mat, nq_list)
print int_mat