def from_desc_and_data(cls, desc, data):
if not isinstance(desc, ModelDesc):
desc = ModelDesc.from_formula(desc)
def data_gen():
yield data
default_env = {"np": np}
builders = make_model_matrix_builders(builtin_stateful_transforms,
default_env,
[desc.lhs_terms, desc.rhs_terms],
Treatment,
data_gen)
return cls(desc, builders[0], builders[1])
def from_desc_and_data(cls, desc, data):
if not isinstance(desc, ModelDesc):
desc = ModelDesc.from_formula(desc)
def data_gen():
yield data
from charlton.builtins import builtins
builders = make_model_matrix_builders(builtin_stateful_transforms,
builtins,
[desc.lhs_terms, desc.rhs_terms],
Treatment,
data_gen)
return cls(desc, builders[0], builders[1])
def from_desc_and_data(cls, desc, data):
if not isinstance(desc, ModelDesc):
desc = ModelDesc.from_formula(desc)
def data_gen():
yield data
from charlton.builtins import builtins
builders = make_model_matrix_builders(builtin_stateful_transforms,
builtins,
[desc.lhs_terms, desc.rhs_terms],
Treatment, data_gen)
return cls(desc, builders[0], builders[1])
