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 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 nrh_estimate(costar, aggregations, zones): return utils.hedonic_estimate("nrh.yaml", costar, aggregations + [zones])