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feature/econometrics: Added Variance Inflation Factor #5866

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@HemuManju HemuManju commented Dec 6, 2023

Description

Hello Everyone,

I hope this message finds you well.

In this pull request, I have included the following models for econometrics:

  • Variance Inflation Factor (VIF)

How has this been tested?

  • I have followed the test structure, like the technical analysis (ta) extension.
  • All the tests (API and Python) are included in the integration folder.
  • Make sure affected commands still run in terminal
  • Ensure the SDK still works
  • Check any related reports

Checklist:

Others

  • I have performed a self-review of my own code.
  • I have commented on my code, particularly in hard-to-understand areas.

⚠️ Disclaimer: This is a rewrite of the original openbb_terminal feature in v4 SDK. Credit goes to its original authors.

@reviewpad reviewpad bot added the feat XS Extra small feature label Dec 6, 2023

# Calculate the VIF values
vif_values = pd.DataFrame(
{"VIF Values": [vif(df.values, i) for i in range(df.shape[1])][1:]},
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This actually results in the dataframe cell having the text "VIF Values:" Would be beneficial to be able to use the returned value without having to process it.

@jmaslek
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jmaslek commented Dec 7, 2023

Thanks for bringing this one over! I left a comment in the code, but it would be nice to be able to associate a variable with the vif in the output, so returning the column as well in the df would be my initial thoughts...

@HemuManju
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@jmaslek If I understand correctly, the output should be something similar to f{column_name}_vif_value instead of just returning a list of vif values?

@jmaslek
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jmaslek commented Dec 7, 2023

I think we can return a dataframe where the columns are the columns of the input and the values are the corresponding big value.

@HemuManju
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HemuManju commented Dec 7, 2023

Now the result is a dataframe with columns from input and values are VIF values. Also changed the implementation slightly to improve readability.

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Sorry for the delay but this looks good o my end!

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3 participants