in causalml/inference/tree/utils.py [0:0]
def cat_continuous(x, granularity='Medium'):
'''
Categorize (bin) continuous variable based on percentile.
Args
----
x : list
Feature values.
granularity : string, optional, (default = 'Medium')
Control the granularity of the bins, optional values are: 'High', 'Medium', 'Low'.
Returns
-------
res : list
List of percentile bins for the feature value.
'''
if granularity == 'High':
lspercentile = [np.percentile(x, 5),
np.percentile(x, 10),
np.percentile(x, 15),
np.percentile(x, 20),
np.percentile(x, 25),
np.percentile(x, 30),
np.percentile(x, 35),
np.percentile(x, 40),
np.percentile(x, 45),
np.percentile(x, 50),
np.percentile(x, 55),
np.percentile(x, 60),
np.percentile(x, 65),
np.percentile(x, 70),
np.percentile(x, 75),
np.percentile(x, 80),
np.percentile(x, 85),
np.percentile(x, 90),
np.percentile(x, 95),
np.percentile(x, 99)
]
res = ['> p90 (%s)' % (lspercentile[8]) if z > lspercentile[8] else
'<= p10 (%s)' % (lspercentile[0]) if z <= lspercentile[0] else
'<= p20 (%s)' % (lspercentile[1]) if z <= lspercentile[1] else
'<= p30 (%s)' % (lspercentile[2]) if z <= lspercentile[2] else
'<= p40 (%s)' % (lspercentile[3]) if z <= lspercentile[3] else
'<= p50 (%s)' % (lspercentile[4]) if z <= lspercentile[4] else
'<= p60 (%s)' % (lspercentile[5]) if z <= lspercentile[5] else
'<= p70 (%s)' % (lspercentile[6]) if z <= lspercentile[6] else
'<= p80 (%s)' % (lspercentile[7]) if z <= lspercentile[7] else
'<= p90 (%s)' % (lspercentile[8]) if z <= lspercentile[8] else
'> p90 (%s)' % (lspercentile[8]) for z in x]
elif granularity == 'Medium':
lspercentile = [np.percentile(x, 10),
np.percentile(x, 20),
np.percentile(x, 30),
np.percentile(x, 40),
np.percentile(x, 50),
np.percentile(x, 60),
np.percentile(x, 70),
np.percentile(x, 80),
np.percentile(x, 90)
]
res = ['<= p10 (%s)' % (lspercentile[0]) if z <= lspercentile[0] else
'<= p20 (%s)' % (lspercentile[1]) if z <= lspercentile[1] else
'<= p30 (%s)' % (lspercentile[2]) if z <= lspercentile[2] else
'<= p40 (%s)' % (lspercentile[3]) if z <= lspercentile[3] else
'<= p50 (%s)' % (lspercentile[4]) if z <= lspercentile[4] else
'<= p60 (%s)' % (lspercentile[5]) if z <= lspercentile[5] else
'<= p70 (%s)' % (lspercentile[6]) if z <= lspercentile[6] else
'<= p80 (%s)' % (lspercentile[7]) if z <= lspercentile[7] else
'<= p90 (%s)' % (lspercentile[8]) if z <= lspercentile[8] else
'> p90 (%s)' % (lspercentile[8]) for z in x]
else:
lspercentile = [np.percentile(x, 15), np.percentile(x, 50), np.percentile(x, 85)]
res = ['1-Very Low' if z < lspercentile[0] else
'2-Low' if z < lspercentile[1] else
'3-High' if z < lspercentile[2] else
'4-Very High' for z in x]
return res