def rsh_simulate(buildings, aggregations, settings):
utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"residential_price")
if "rsh_simulate" in settings:
low = float(settings["rsh_simulate"]["low"])
high = float(settings["rsh_simulate"]["high"])
buildings.update_col("residential_price",
buildings.residential_price.clip(low, high))
print "Clipped rsh_simulate produces\n", \
buildings.residential_price.describe()
def rsh_simulate(buildings, aggregations, settings):
utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"residential_price")
if "rsh_simulate" in settings:
low = float(settings["rsh_simulate"]["low"])
high = float(settings["rsh_simulate"]["high"])
buildings.update_col("residential_price",
buildings.residential_price.clip(low, high))
print "Clipped rsh_simulate produces\n", \
buildings.residential_price.describe()
def rsh_simulate(residential_units, aggregations, settings, rsh_config):
"""
This uses the MTC's model specification from rsh.yaml, but
generates unit-level price predictions rather than building-level.
Data expectations
-----------------
- tk
"""
utils.hedonic_simulate(cfg=rsh_config,
tbl=residential_units,
join_tbls=aggregations,
out_fname='unit_residential_price')
_mtc_clip(residential_units, 'unit_residential_price', settings)
return
def rsh_simulate(residential_units, aggregations, settings, rsh_config):
"""
This uses the MTC's model specification from rsh.yaml, but
generates unit-level price predictions rather than building-level.
Data expectations
-----------------
- tk
"""
utils.hedonic_simulate(cfg=rsh_config,
tbl=residential_units,
join_tbls=aggregations,
out_fname='unit_residential_price')
_mtc_clip(residential_units, 'unit_residential_price', settings)
return
def rrh_simulate(residential_units, aggregations, settings, rrh_config):
"""
This uses an altered hedonic specification to generate
unit-level rent predictions.
Data expectations
-----------------
- tk
"""
utils.hedonic_simulate(cfg=rrh_config,
tbl=residential_units,
join_tbls=aggregations,
out_fname='unit_residential_rent')
_mtc_clip(residential_units, 'unit_residential_rent',
settings, price_scale=0.05/12)
return
def rrh_simulate(residential_units, aggregations, settings):
"""
This uses an altered hedonic specification to generate
unit-level rent predictions.
Data expectations
-----------------
- tk
"""
utils.hedonic_simulate(cfg='rrh.yaml',
tbl=residential_units,
join_tbls=aggregations,
out_fname='unit_residential_rent')
_mtc_clip(residential_units, 'unit_residential_rent',
settings, price_scale=0.05/12)
return
def nrh_simulate(buildings, aggregations, nrh_config):
return utils.hedonic_simulate(nrh_config, buildings, aggregations,
"non_residential_rent")
def nrh_simulate(buildings, aggregations):
return utils.hedonic_simulate("nrh.yaml", buildings, aggregations,
"non_residential_price")
def rsh_simulate(buildings, aggregations):
return utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"residential_price")
def rsh_simulate(buildings, aggregations):
return utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"residential_price")
def rsh_simulate(settings, buildings, aggregations):
yaml_cfg = settings['rsh_yaml']
return utils.hedonic_simulate(yaml_cfg, buildings, aggregations,
"residential_price")
def nrh_simulate2(buildings, aggregations):
return utils.hedonic_simulate("nrh2.yaml", buildings, aggregations,
"non_residential_price")
def nrh_simulate(buildings, aggregations):
return utils.hedonic_simulate("nrh.yaml", buildings, aggregations,
"nonres_rent_per_sqft")
def rsh_simulate(buildings, aggregations):
return utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"res_price_per_sqft")
def nrh_simulate(buildings, aggregations):
return utils.hedonic_simulate("nrh.yaml", buildings, aggregations,
"nonres_rent_per_sqft")
def rsh_simulate(buildings, aggregations):
return utils.hedonic_simulate("rsh.yaml", buildings, aggregations,
"res_price_per_sqft")
def repmnr_simulate(parcels, zones, gridcells):
return utils.hedonic_simulate("repmnrcoef.yaml",
parcels, [zones, gridcells],
"land_value", cast=True)
def nrh_simulate(buildings, aggregations, nrh_config):
return utils.hedonic_simulate(nrh_config, buildings, aggregations,
"non_residential_rent")