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Time Series Analysis with Python Cookbook, published by Packt
In Chapter 3 of the book for learning how to access Postgres from within Python with SQL language, we frequently use a table called "yen_tbl". I have no clue how to find this one though? It does not seem to be given in the datasets-section of the repo?
Hello,
running the to_sql() function throws an error:
OperationalError: (psycopg2.OperationalError) connection to server at "localhost" (::1), port 5432 failed: Connection refused (0x0000274D/10061)
Is the server running on that host and accepting TCP/IP connections?
connection to server at "localhost" (127.0.0.1), port 5432 failed: Connection refused (0x0000274D/10061)
Is the server running on that host and accepting TCP/IP connections?
(Background on this error at: https://sqlalche.me/e/20/e3q8)
As chap.12 using machine learning package to predict time series, I see the book use non-linear models with sktime. But I think sklearn is also provide such regression models, although you say sklearn is general ML library.
Why I want to use sklearn is:
sktime need numpy version: <1.23, but when I using pytorch the numpy need to 1.23 version, so in my project I need to switch version. But I use sklearn in linear model there not have such problems, and I want to extend non-linear models.
And is there any general function to training machine learning models such as train Neural Networks model in chap.13? Including tuning parametters.
Thanks,
Zhe.
https://github.com/PacktPublishing/Time-Series-Analysis-with-Python-Cookbook..git
provokes error when you 'git clone' the repo.
Can you please rename to
https://github.com/PacktPublishing/Time-Series-Analysis-with-Python-Cookbook.git
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