def ual_rrh_estimate(craigslist, aggregations):
"""
This model step estimates a residental rental hedonic using craigslist listings.
Data expectations
-----------------
- 'craigslist' table and others, as defined in the yaml config
"""
return utils.hedonic_estimate(cfg='ual_rrh.yaml',
tbl=craigslist,
join_tbls=aggregations)
def rrh_estimate(craigslist, aggregations):
"""
This model step estimates a residental rental hedonic using
craigslist listings.
Data expectations
-----------------
- 'craigslist' table and others, as defined in the yaml config
"""
return utils.hedonic_estimate(cfg='rrh.yaml',
tbl=craigslist,
join_tbls=aggregations)
def repmnr_estimate(parcels, zones, gridcells):
return utils.hedonic_estimate("repmnr.yaml", parcels,
[zones, gridcells],
out_cfg="repmnrcoef.yaml")
def rsh_estimate(buildings, aggregations):
return utils.hedonic_estimate("rsh.yaml", buildings, aggregations)
def rsh_estimate(buildings, aggregations):
return utils.hedonic_estimate("rsh.yaml", buildings, aggregations)
def nrh_estimate(costar, aggregations):
return utils.hedonic_estimate("nrh.yaml", costar, aggregations)
def rsh_estimate(homesales, aggregations):
return utils.hedonic_estimate("rsh.yaml", homesales, aggregations)
def rsh_estimate(assessor_transactions, aggregations):
return utils.hedonic_estimate("rsh.yaml", assessor_transactions, aggregations)
def nrh_estimate2(costar, aggregations):
return utils.hedonic_estimate("nrh2.yaml", costar, aggregations)
def rsh_estimate(assessor_transactions, aggregations):
return utils.hedonic_estimate("rsh.yaml", assessor_transactions,
aggregations)
def rsh_estimate(homesales, aggregations):
return utils.hedonic_estimate("rsh.yaml", homesales, aggregations)
def nrh_estimate(costar, aggregations, zones):
return utils.hedonic_estimate("nrh.yaml", costar, aggregations + [zones])
