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statsmodels

By statsmodels

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statsmodels Reviews (3)

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statsmodels Reviews (3)

4.5
3 reviews

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Verified User in Information Technology and Services
UI
Small-Business (50 or fewer emp.)
"Statsmodels"
What do you like best about statsmodels?

A comprehensive collection of advanced or special-use statistical and regression functions. Having access to models and statistical tests related to those models in the same package is very handy. Additionally, for regression models such as ARMA/ARIMA/ARIMAX/SARIMAX, the output already contains a lot of relevant information like AIC and BIC score. Review collected by and hosted on G2.com.

What do you dislike about statsmodels?

Output type is inconsistent and can be a hurdle at times. For example some methods will output a list, others a dictionary, etc, which can make using a statsmodels output as an input somewhere else a little tricky. Documentation is also inconsistent. Review collected by and hosted on G2.com.

Verified User in Mining & Metals
UM
Mid-Market (51-1000 emp.)
"Statsmodels"
What do you like best about statsmodels?

Statsmodel gives many advanced statistical functions which are not present in pandas or numpy. Scikit-learn also has many of the statistical functions, but their functionalities are limited. For advanced operations, statsmodel is the way to go. Review collected by and hosted on G2.com.

What do you dislike about statsmodels?

It is a relatively new package, the quantity and quality of documentation available is very poor. It is less pythonic than scikit-learn. Review collected by and hosted on G2.com.

Verified User in Education Management
UE
Small-Business (50 or fewer emp.)
"great for running econometric models!"
What do you like best about statsmodels?

easy and intuitive to use - works for solving a variety of problems Review collected by and hosted on G2.com.

What do you dislike about statsmodels?

at times there seems like there aren't enough online resources to help dictate Review collected by and hosted on G2.com.

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