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schools. ~\Anaconda3\lib\site-packages\statsmodels\tsa\statespace\mlemodel.py in () The school will be the top-level group, and the model0if = GLSAR (Y, X, 2 ) res = model0if.iterative_fit ( 6 ) print ( 'iterativefit beta', res.params) results.tvalues # XXX is this correct? 9 import pandas as pd Christiano Fitzgerald asymmetric, random walk filter. Sign in 1-d endogenous response variable. (array) A reference to the exogenous design. File "", line 7, in Use MathJax to format equations. Using Keras ImageDataGenerator in a regression model. Try the following and see how it compares: model = LogisticRegression (C=1e9) Share. Copyright 2009-2023, Josef Perktold, Skipper Seabold, Jonathan Taylor, statsmodels-developers. Follow Up: struct sockaddr storage initialization by network format-string. 4 from statsmodels.tsa.seasonal import DecomposeResult Connect and share knowledge within a single location that is structured and easy to search. forgot to restart the kernel. You have very old statsmodels that is not supported. 18 from statsmodels.tools.tools import Bunch. ImportError Traceback (most recent call last) 6 from .regression.linear_model import OLS, GLS, WLS, GLSAR Is it plausible for constructed languages to be used to affect thought and control or mold people towards desired outcomes? Canonically imported 1 Answer. and should be added by the user. Stumped. 34,681 Solution 1. You may also want to check out all available functions/classes of the module statsmodels.api, or try the search . Flutter change focus color and icon color but not works. Using Kolmogorov complexity to measure difficulty of problems? If a law is new but its interpretation is vague, can the courts directly ask the drafters the intent and official interpretation of their law? Copyright 2009-2019, Josef Perktold, Skipper Seabold, Jonathan Taylor, statsmodels-developers. model. Calling a function of a module by using its name (a string) By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. But still I can't import statsmodels.api. About; Products . Please upgrade to the latest release. re-used over the top-level groups. ModuleNotFoundError: No module named 'pandas.tseries.tools' During handling of the above exception, another exception occurred: . See Notes. the casting rule ''safe''. use this in the import, and your rest of the fix is mentioned below. ----> 1 from stldecompose import decompose, forecast, ~/anaconda3/lib/python3.6/site-packages/stldecompose/init.py in () glmgam(formula,data[,subset,drop_cols]), conditional_logit(formula,data[,subset,]), conditional_mnlogit(formula,data[,subset,]), conditional_poisson(formula,data[,subset,]). Does a summoned creature play immediately after being summoned by a ready action? If we want the relationship between pretest Detrend an array with a trend of given order along axis 0 or 1. lagmat(x,maxlag[,trim,original,use_pandas]), lagmat2ds(x,maxlag0[,maxlagex,dropex,]). richard simmons net worth 2020. muss park miami . Toggle navigation. During handling of the above exception, another exception occurred: ImportError Traceback (most recent call last) Asking for help, clarification, or responding to other answers. Python. data must define __getitem__ with the keys in the formula terms A nobs x k array where nobs is the number of observations and k is the number of regressors. Log-likelihood of logit model for each observation. What is the point of Thrower's Bandolier? Fit VAR(p) process and do lag order selection, Vector Autoregressive Moving Average with eXogenous regressors model, SVAR(endog,svar_type[,dates,freq,A,B,]). 54 import pandas.tseries.frequencies as frequencies, ModuleNotFoundError: No module named 'pandas.tseries.tools'. Why are Suriname, Belize, and Guinea-Bissau classified as "Small Island Developing States"? Start Alteryx Designer as administrator if you have an admin version and, as usual otherwise. Short story taking place on a toroidal planet or moon involving flying. . If you upgrade to statsmodels master this is fixed (assuming you have a compiler, pip install git+https://github.com/statsmodels/statsmodels will install the latest master). In Python, function names are case-sensitive. 1 import statsmodels.api as sm 2 print (statsmodels.__version__) #v0.10.1 3 #YX 4 model = smf.OLS(Y,X).fit() 5 result.summary() . Here the design matrix, Logistic Regression: Scikit Learn vs Statsmodels, Coefficients for Logistic Regression scikit-learn vs statsmodels. ---> 16 from statsmodels.tsa.statespace.mlemodel import ( 10 from .regression.linear_model import OLS, GLS, WLS, GLSAR dictionary, or a pandas DataFrame. The default gives a random intercept for each That will not change any attributes and is only used for . Fit a conditional logistic regression model to grouped data. Additional positional argument that are passed to the model. These are passed to the model with one exception. Is there a proper earth ground point in this switch box? How to parse XML and get instances of a particular node attribute? The variance components formulas are processed separately for inputs could not be safely coerced to any supported types according to it does equal params/bse # but isn't the same as the AR example (which was wrong in the first place..) print (results.t_test . Computes cov_params on a reduced parameter space corresponding to the nonzero parameters resulting from the l1 regularized fit. If you are getting the above mentioned error, you can solve it by specifying dtype for the np.array. . 12 from .regression.quantile_regression import QuantReg This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). The results are tested against existing statistical packages to ensure . Why is there a voltage on my HDMI and coaxial cables? 10 Have a look at closed issues. drop terms involving categoricals. SyntaxError: invalid syntax. Compute information criteria for many ARMA models. the formula API are generic. the formula for the component with variance parameter named What can a lawyer do if the client wants him to be acquitted of everything despite serious evidence? 9 from . import statsmodels.api as sm File "C:\Python27\lib\site-packages\statsmodels\tools\tools.py", line 14, in <module> from pandas import DataFrame ImportError: No module named pandas .which confuses me a great deal, seeing as how that particular produced no errors before, i.e. How can I import a module dynamically given the full path? ----> 2 from statsmodels.compat.pandas import is_numeric_dtype Assumes df is a Add a comment. Create a Model from a formula and dataframe. The main statsmodels API is split into models: statsmodels.api: Cross-sectional models and methods. the casting rule ''safe''. class method of models that support the formula API. This is the working solution that I tried today. Here are some ways to import or access the function or the "official" module. A nobs x k array where nobs is the number of observations and k is the number of regressors. Python 3: module in same directory as script: "ImportError: No module named" TypeError: 'type' object is not subscriptable when indexing in to a dictionary . Partial autocorrelation estimated with non-recursive yule_walker. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. Create a Model from a formula and dataframe. Fit VAR and then estimate structural components of A and B, defined: VECM(endog[,exog,exog_coint,dates,freq,]). Is it suspicious or odd to stand by the gate of a GA airport watching the planes? I am trying to understand why the output from logistic regression of these 15 MLEModel, MLEResults, MLEResultsWrapper, PredictionResults, When I run the next piece of code, TypeError: ufunc 'isfinite' not supported for the input types, and the OrdinalGEE(endog,exog,groups[,time,]), Ordinal Response Marginal Regression Model using GEE, GLM(endog,exog[,family,offset,exposure,]), GLMGam(endog[,exog,smoother,alpha,]), BinomialBayesMixedGLM(endog,exog,exog_vc,), Generalized Linear Mixed Model with Bayesian estimation, PoissonBayesMixedGLM(endog,exog,exog_vc,ident), Probit(endog,exog[,offset,check_rank]), OrderedModel(endog,exog[,offset,distr]), Ordinal Model based on logistic or normal distribution, Poisson(endog,exog[,offset,exposure,]), NegativeBinomialP(endog,exog[,p,offset,]), Generalized Negative Binomial (NB-P) Model, GeneralizedPoisson(endog,exog[,p,offset,]), ZeroInflatedNegativeBinomialP(endog,exog[,]), Zero Inflated Generalized Negative Binomial Model, ZeroInflatedGeneralizedPoisson(endog,exog). Here are the code: sm.stats.proportion.proportion_confint(0, 60, alpha=0.05, method='binom_test')****. ---> 56 from pandas.core import datetools AttributeError: module . How to react to a students panic attack in an oral exam? ---> 11 from statsmodels.compat.pandas import Appender Sign Up Now! Find answers, ask questions, and share expertise about Alteryx Designer and Intelligence Suite. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. 12 patsy:patsy.EvalEnvironment object or an integer ---> 36 from .tools import prepare_exog, concat Formulas describing variance components. Seasonal decomposition using moving averages. Import Paths and Structure explains the design of the two API modules and how How to prove that the supernatural or paranormal doesn't exist? https://www.statsmodels.org/dev/generated/statsmodels.regression.linear_model.OLS.html#statsmodels.regression.linear_model.OLS, This will work because statsmodels.api contain Ordinary least squares(OLS) Do I need a thermal expansion tank if I already have a pressure tank? statsmodels.tsa.api: Time-series models and methods. API. . With this regularized result, I was trying to duplicate the result using the, My intuition is that if I divide both terms of the cost function in. Just for completeness, the code should look like this if statsmodels.version is 0.10.0: But it says that there is no attribute 'OLS' from statsmodels. Connect and share knowledge within a single location that is structured and easy to search. For example, the Asking for help, clarification, or responding to other answers. See Notes. An array-like object of booleans, integers, or index You are probably running 0.9, which is quite old. If you have your own xnames, then model.exog_names[:] = xnames Note this is inplace modification not assigment. Cloning https://github.com/statsmodels/statsmodels.git to /tmp/pip-req-build-1pwouxyr eval_env keyword is passed to patsy. vc_formula[vc] is you can just reinstall the pandas, reinstalling pandas doesn't sort my error, as it says to install datetools. terms args and kwargs are passed on to the model By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. model is defined. The results with leaving the constant term out won't reproduce the Scikit results either, since I checked it. The following model is almost equivalent to the previous one, 1.2.5. statsmodels.api.Logit. Test for no-cointegration of a univariate equation. from statsmodels.tsa.api import VAR, DynamicVAR, ImportError: cannot import name 'DynamicVAR' from 'statsmodels.tsa.api' (C:\Users\hafez\anaconda3\lib\site-packages\statsmodels\tsa\api.py). How to follow the signal when reading the schematic? Perform x13-arima analysis for monthly or quarterly data. If drop, any observations with nans are dropped. You signed in with another tab or window. The best answers are voted up and rise to the top, Not the answer you're looking for? statsmodels.formula.api - Cannot import statsmodels.formula.api statsmodels.formula.api - Polynomial Regression Using statsmodels.formula.api Pythonstatsmodels.formula.apipython - Python: statsmodels.formula.api: python-like formula statsmodels.formula.api . You can confirm this by reading the scikit-learn documentation. If you continue browsing our website, you accept these cookies. from statsmodels.stats import . Canonically imported By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. classrooms, and the classroom labels may (but need not be) The dependent variable. There is no way to switch off regularization in scikit-learn, but you can make it ineffective by setting the tuning parameter C to a large number. You can see that Statsmodel includes the intercept. We've added a "Necessary cookies only" option to the cookie consent popup, Logistic Regression: Scikit Learn vs glmnet. 1-d endogenous response variable. conda install scikit-learn=0.22 E.g., 55 except ImportError: using import statsmodels.tsa.api as tsa. Follow Up: struct sockaddr storage initialization by network format-string. Sorted by: 1. try sm.stats.proportion_confint. is the number of regressors. coefficients having mean zero and a common variance. Another difference is that you've set fit_intercept=False, which effectively is a different model. The API focuses on models and the most frequently used statistical test . First, we define the set of dependent ( y) and independent ( X) variables. What pandas do you have installed? Do I need a thermal expansion tank if I already have a pressure tank? . module 'statsmodels formula api has no attribute logit. column is also added. Columns to drop from the design matrix. Hello,I followed this method(pip install git+https://github.com/statsmodels/statsmodels.git) and have been waited for a long time(like hours). File "", line 1 To learn more, see our tips on writing great answers. If a variable is categorical the results will not 15 from statsmodels.tools.data import _is_using_pandas using import statsmodels.api as sm. Find centralized, trusted content and collaborate around the technologies you use most. An array-like object of booleans, integers, or index values that Thanks for contributing an answer to Stack Overflow! the formula so that no overall intercept is included. The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An intercept is not included by default and should be added by the user. NominalGEE(endog,exog,groups[,time,]). my time of original posting. Learn more about Stack Overflow the company, and our products. An extensive list of result statistics are avalable for each estimator. module 'statsmodels formula api has no attribute logit. Euler: A baby on his lap, a cat on his back thats how he wrote his immortal works (origin?). Factor([endog,n_factor,corr,method,smc,]), PCA(data[,ncomp,standardize,demean,]), MixedLM(endog,exog,groups[,exog_re,]), SurvfuncRight(time,status[,entry,title,]). details. The is first converted to dummy variable with rank_1 dropped. Thanks for contributing an answer to Stack Overflow! The API should really be more consistent but you can either have a formula which is a string object passed to the OLS or array-like arguments such as matrices and column vectors. Not having an intercept surely changes the expected weights on the features. Any explanation why it worked the first day, but not the after that? Create a Model from a formula and dataframe. glsar(formula,data[,subset,drop_cols]), mixedlm(formula,data[,re_formula,]), gee(formula,groups,data[,subset,time,]), ordinal_gee(formula,groups,data[,subset,]), nominal_gee(formula,groups,data[,subset,]), logit(formula,data[,subset,drop_cols]), probit(formula,data[,subset,drop_cols]), mnlogit(formula,data[,subset,drop_cols]), poisson(formula,data[,subset,drop_cols]), negativebinomial(formula,data[,subset,]), quantreg(formula,data[,subset,drop_cols]), phreg(formula,data[,status,entry,]). How to show that an expression of a finite type must be one of the finitely many possible values? It can be either a For Coupons, Giveaways, and Free Games to play with your family. I wonder how long should I wait before it is done? PHReg(endog,exog[,status,entry,strata,]), Cox Proportional Hazards Regression Model, BetaModel(endog,exog[,exog_precision,]), ProbPlot(data[,dist,fit,distargs,a,]), qqplot(data[,dist,distargs,a,loc,]). Multiple Imputation with Chained Equations. 3 Create a Model from a formula and dataframe. Critical issues have been reported with the following SDK versions: com.google.android.gms:play-services-safetynet:17.0.0, Flutter Dart - get localized country name from country code, navigatorState is null when using pushNamed Navigation onGenerateRoutes of GetMaterialPage, Android Sdk manager not found- Flutter doctor error, Flutter Laravel Push Notification without using any third party like(firebase,onesignal..etc), How to change the color of ElevatedButton when entering text in TextField, Print OLS regression summary to text file, Python pandas has no attribute ols - Error (rolling OLS), Scikit-Learn: Std.Error, p-Value from LinearRegression, Normal Equation Implementation in Python / Numpy, ARIMA Model - MissingDataError: exog contains inf or nans, How to predict new values using statsmodels.formula.api (python), Numpy linear regression with regularization. A one-sided formula defining the variance structure of the statsmodels.tools.add_constant(). Alternatively, each model in the usual statsmodels.api namespace has a from_formula classmethod that will create a model using a formula. See the detailed topic pages in the User Guide for a complete pretest. statsmodels.formula.api: A convenience interface for specifying models using formula strings and DataFrames. This has appeared in another thread. You can see that Statsmodel includes the intercept. rev2023.3.3.43278. Does Counterspell prevent from any further spells being cast on a given turn? This should work because it did work for me. Or, import the module directly. The formula specifying the model. pandas.DataFrame. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Class representing a Vector Error Correction Model (VECM). Not the answer you're looking for? Generalized method of moments (GMM) estimators. An intercept Is there a solutiuon to add special characters from software and how to do it, Recovering from a blunder I made while emailing a professor. The code is as follows: Just for completeness, the code should look like this if statsmodels.version is 0.10.0: I have tried the above mentioned methods and while, the import works for me. AutoReg(endog,lags[,trend,seasonal,]), ARDL(endog,lags[,exog,order,trend,]), Autoregressive Distributed Lag (ARDL) Model, ARIMA(endog[,exog,order,seasonal_order,]), Autoregressive Integrated Moving Average (ARIMA) model, and extensions, Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors model, ardl_select_order(endog,maxlag,exog,maxorder), arma_order_select_ic(y[,max_ar,max_ma,]). This API directly exposes the from_formula class method of models that support the formula API. corresponding model class. Stack Exchange network consists of 181 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. @hurrikale Ask a new question and link it here, and I will take a look. In that case it imports the required functions and not almost all of statsmodels which happens when import statsmodels.api as sm is used. UECM(endog,lags[,exog,order,trend,]), Unconstrained Error Correlation Model(UECM), ExponentialSmoothing(endog[,trend,]), Holt(endog[,exponential,damped_trend,]), DynamicFactor(endog,k_factors,factor_order), DynamicFactorMQ(endog[,k_endog_monthly,]). list of available models, statistics, and tools. Statsmodels also provides a formulaic interface that will be familiar to users of R. Note that this requires the use of a different api to statsmodels, and the class is now called ols rather than OLS. Copyright 2009-2023, Josef Perktold, Skipper Seabold, Jonathan Taylor, statsmodels-developers. Udemy . Perform automatic seasonal ARIMA order identification using x12/x13 ARIMA. Season-Trend decomposition using LOESS for multiple seasonalities. I have statsmodels version 0.13.0 using pip install git+https://github.com/statsmodels/statsmodels. Here is how that works in your case: UPDATE: As correctly pointed out in the comments below, now you can switch off the relularization in scikit-learn by setting penalty='none' (see the docs). @Josef You are absolutelly correct. MICE(model_formula,model_class,data[,]). Assumes df is a pandas.DataFrame. If you wish Already on GitHub? Is it plausible for constructed languages to be used to affect thought and control or mold people towards desired outcomes? MathJax reference. I was able to fix the issues using your feedback. logit = sm.Logit(data['admit'], data[train_cols]) AttributeError: 'module' object has no attribute 'Logit' I have been reading the documentation, and have read about endog, and exog. ' when I entered 'from statsmodels.formula.api import ols'.The package is already installed.And if I enter 'import statsmodels',no warnings appear.How to do with it? How do I align things in the following tabular environment? I tried to run in Pycharm, after install numpy, stats models, it still does not work. An array-like object of booleans, integers, or index values that indicate the subset of df to use in the model. using formula strings and DataFrames. Sandbox: statsmodels contains a sandbox folder with code in various stages of development and testing which is not considered "production ready". Please refeer to these link for more information: https://www.statsmodels.org/dev/generated/statsmodels.formula.api.ols.html#statsmodels.formula.api.ols Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, AttributeError: module 'statsmodels' has no attribute 'datasets', AttributeError: module 'statsmodels.formula.api' has no attribute 'OLS' in spyder, Calling a function of a module by using its name (a string). Here is the complete code. Closing. See statsmodels.tools.add_constant (). 4 import datetime Short story taking place on a toroidal planet or moon involving flying. Suppose we have data from an educational study with students Making statements based on opinion; back them up with references or personal experience. I get . Or import module with an alias (my preferred way), Some explanations are at Thank you.But it seems not work for me,I waited for some time.There is another question now,it signaled 'cannot import name 'factorial' from 'scipy.misc' (/opt/conda/lib/python3.7/site-packages/scipy/misc/init.py)' when I entered 'from statsmodels.formula.api import ols'.The package is already installed.And if I enter 'import statsmodels',no warnings appear.How to do with it? 'OLS'. disable sklearn regularization LogisticRegression(C=1e9), add statsmodels intercept sm.Logit(y, sm.add_constant(X)) OR disable sklearn intercept LogisticRegression(C=1e9, fit_intercept=False), sklearn returns probability for each class so model_sklearn.predict_proba(X)[:, 1] == model_statsmodel.predict(X), use of predict function model_sklearn.predict(X) == (model_statsmodel.predict(X) > 0.5).astype(int). 38, ImportError: cannot import name 'prepare_exog', Sorry, issue solved. 19 from statsmodels.tools.numdiff import (_get_epsilon, approx_hess_cs, ~\Anaconda3\lib\site-packages\statsmodels\tsa\base\tsa_model.py in () Is there any documentation that Does a barbarian benefit from the fast movement ability while wearing medium armor? MI performs multiple imputation using a provided imputer object. Do new devs get fired if they can't solve a certain bug? two libraries gives different results. This should work because it did work for me. default eval_env=0 uses the calling namespace. indicating the depth of the namespace to use. Theoretical properties of an ARMA process for specified lag-polynomials. An intercept is not included by default and . For example, the Will be fixed when the next release is out. Your clue to figuring this out should be that the parameter estimates from the scikit-learn estimation are uniformly smaller in magnitude than the statsmodels counterpart. regressor_OLS = sm.OLS(endog = y, exog = X_opt).fit(), AttributeError: module 'statsmodels.formula.api' has no attribute Calculating probabilities from d6 dice pool (Degenesis rules for botches and triggers). access through api. classroom is a nested group that is specified as a variance The nature of simulating nature: A Q&A with IBM Quantum researcher Dr. Jamie We've added a "Necessary cookies only" option to the cookie consent popup. 8, ~/anaconda3/lib/python3.6/site-packages/statsmodels/api.py in () 10 from .regression.linear_model import OLS, GLS, WLS, GLSAR Note that you are calling a function OLS (all capitalized), while the correct way is all lowercase. []AttributeError: module 'statsmodels.formula.api' has no attribute 'OLS' Shubham Trehan 2019-06-04 18:57:54 32326 6 python / machine-learning / linear-regression / statsmodels GEE(endog,exog,groups[,time,family,]). Calculate the crosscovariance between two series. api library. If none, no nan vc. multiple regression, not multivariate), instead, all works fine. Q-Q plot of the quantiles of x versus the quantiles/ppf of a distribution. It only takes a minute to sign up. This covers among others. qqplot_2samples(data1,data2[,xlabel,]), add_constant(data[,prepend,has_constant]), List the versions of statsmodels and any installed dependencies, Opens a browser and displays online documentation, acf(x[,adjusted,nlags,qstat,fft,alpha,]), acovf(x[,adjusted,demean,fft,missing,nlag]), adfuller(x[,maxlag,regression,autolag,]), BDS Test Statistic for Independence of a Time Series. 2330. rev2023.3.3.43278. Not having an intercept surely changes the expected weights on the features. 15 from .kalman_filter import (KalmanFilter, FilterResults, INVERT_UNIVARIATE, in () --------------------------------------------------------------------------- ImportError Traceback (most recent call last) in ----> 1 import statsmodels.formula.api as sm 2 c:\users\10007781\appdata\local\alteryx\bin\miniconda3\envs\jupytertool_venv\lib\site-packages\statsmodels\formula\api.py in 13 from statsmodels.robust.robust_linear_model import RLM 14 rlm = RLM.from_formula ---> 15 from statsmodels.discrete.discrete_model import MNLogit 16 mnlogit = MNLogit.from_formula 17 from statsmodels.discrete.discrete_model import Logit c:\users\10007781\appdata\local\alteryx\bin\miniconda3\envs\jupytertool_venv\lib\site-packages\statsmodels\discrete\discrete_model.py in 43 44 from statsmodels.base.l1_slsqp import fit_l1_slsqp ---> 45 from statsmodels.distributions import genpoisson_p 46 47 try: c:\users\10007781\appdata\local\alteryx\bin\miniconda3\envs\jupytertool_venv\lib\site-packages\statsmodels\distributions\__init__.py in 1 from .empirical_distribution import ECDF, monotone_fn_inverter, StepFunction ----> 2 from .edgeworth import ExpandedNormal 3 from .discrete import genpoisson_p, zipoisson, zigenpoisson, zinegbin c:\users\10007781\appdata\local\alteryx\bin\miniconda3\envs\jupytertool_venv\lib\site-packages\statsmodels\distributions\edgeworth.py in 5 import numpy as np 6 from numpy.polynomial.hermite_e import HermiteE ----> 7 from scipy.misc import factorial 8 from scipy.stats import rv_continuous 9 import scipy.special as special ImportError: cannot import name 'factorial', I have looked for your error message on Google and found a incompatibility issue:https://github.com/statsmodels/statsmodels/issues/5759, 2.