statsmodels:寻找statsmodels.formula.api详细文档

时间:2018-06-06 05:53:23

标签: python statsmodels

statsmodels主页上的示例http://www.statsmodels.org/stable/index.html 使用statsmodels.api和statsmodels.formula.api,但我在索引/模块页面中找不到它们。

同时我找不到ols类(statsmodels.formula.api模块),而是statsmodels.regression.linear_model模块的大写OLS类。 对此感到困惑。

我在哪里可以获得statsmodels.formula.api.ols的详细信息?

1 个答案:

答案 0 :(得分:0)

api没有具体的文档。该文档主要用于各个类和函数。 对不同的导入路径http://www.statsmodels.org/stable/importpaths.html

进行了简要说明

api.py主要是进口的集合,例如statsmodels api https://github.com/statsmodels/statsmodels/blob/master/statsmodels/api.py

from . import iolib
from . import datasets
from . import tools
from .tools.tools import add_constant, categorical
from . import regression
from .regression.linear_model import OLS, GLS, WLS, GLSAR
from .regression.recursive_ls import RecursiveLS
from .regression.quantile_regression import QuantReg
from .regression.mixed_linear_model import MixedLM
from .genmod import api as genmod
from .genmod.api import (GLM, GEE, OrdinalGEE, NominalGEE, families,
                         cov_struct,
                         BinomialBayesMixedGLM, PoissonBayesMixedGLM)
from . import robust
from .robust.robust_linear_model import RLM
from .discrete.discrete_model import (Poisson, Logit, Probit,
                                      MNLogit, NegativeBinomial,
                                      GeneralizedPoisson,
                                      NegativeBinomialP)
from .discrete.count_model import (ZeroInflatedPoisson,
                                   ZeroInflatedGeneralizedPoisson,
                                   ZeroInflatedNegativeBinomialP)
from .tsa import api as tsa
...

formula.api只是为模型的from_formula方法定义了别名 https://github.com/statsmodels/statsmodels/blob/master/statsmodels/formula/api.py

from statsmodels.regression.linear_model import GLS
gls = GLS.from_formula
from statsmodels.regression.linear_model import WLS
wls = WLS.from_formula
from statsmodels.regression.linear_model import OLS
ols = OLS.from_formula
from statsmodels.regression.linear_model import GLSAR
glsar = GLSAR.from_formula
from statsmodels.regression.mixed_linear_model import MixedLM
mixedlm = MixedLM.from_formula
from statsmodels.genmod.generalized_linear_model import GLM
glm = GLM.from_formula
from statsmodels.robust.robust_linear_model import RLM
rlm = RLM.from_formula
from statsmodels.discrete.discrete_model import MNLogit
mnlogit = MNLogit.from_formula
from statsmodels.discrete.discrete_model import Logit
logit = Logit.from_formula
from statsmodels.discrete.discrete_model import Probit
probit = Probit.from_formula
from statsmodels.discrete.discrete_model import Poisson
poisson = Poisson.from_formula
from statsmodels.discrete.discrete_model import NegativeBinomial
negativebinomial = NegativeBinomial.from_formula
from statsmodels.regression.quantile_regression import QuantReg
quantreg = QuantReg.from_formula
from statsmodels.duration.hazard_regression import PHReg
phreg = PHReg.from_formula
from statsmodels.genmod.generalized_estimating_equations import (GEE,
     OrdinalGEE, NominalGEE)
gee = GEE.from_formula
ordinal_gee = OrdinalGEE.from_formula
nominal_gee = NominalGEE.from_formula