import ivfunctions
from mcpy import metrics
from mcpy import plotting
from mliv.dgps import fn_dict
from raw_plots import raw_metric, plot_raw
CONFIG = {
"target_dir": "many_z_many_t",
"reload_results": False,
"dgps": {
"dgp1": ivfunctions.gen_data
},
"dgp_opts": {
'dgp_num': 5,
'fn': list(iter(fn_dict.values())),
'n_samples': [2000, 5000],
'n_instruments': [2, 5, 10],
'iv_strength': [.6, .8],
'n_test': 1000,
'gridtest': [1, 0]
},
"methods": {
"NystromRKHS": ivfunctions.nystromrkhsfit,
"2SLS": ivfunctions.tsls,
"Reg2SLS": ivfunctions.regtsls,
"SpLinL1": ivfunctions.l1sparselinear,
"StSpLinL1": ivfunctions.stochasticl1sparselinear,
"SpLinL2": ivfunctions.l2sparselinear,
"RFIV": ivfunctions.ensembleiv,
"RFStarIV": ivfunctions.ensemblestariv
import ivfunctions
from mcpy import metrics
from mcpy import plotting
from mliv.dgps import fn_dict
from raw_plots import raw_metric, plot_raw
import papertables
CONFIG = {
"target_dir": "many_z_one_t",
"reload_results": True,
"dgps": {
"dgp1": ivfunctions.gen_data
},
"dgp_opts": {
'dgp_num': 2,
'fn': list(iter(fn_dict.values())),
'n_samples': 2000,
'n_instruments': 10,
'iv_strength': .6,
'n_test': 1000,
'gridtest': 0
},
"methods": {
"NystromRKHS": ivfunctions.nystromrkhsfit,
"2SLS": ivfunctions.tsls,
"Reg2SLS": ivfunctions.regtsls,
"SpLinL1": ivfunctions.l1sparselinear,
"StSpLinL1": ivfunctions.stochasticl1sparselinear,
"SpLinL2": ivfunctions.l2sparselinear,
"RFIV": ivfunctions.ensembleiv,
"RFStarIV": ivfunctions.ensemblestariv
