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dce447b423
* install v4
* add run on pr
* this seems sus
* thnx juan
* flip
* thnx juan
* idk
* Update index.js
* Update Root.tsx
* Update index.js
* try again
* fix front matter
* fix description front matter
* Revert "fix description front matter"
This reverts commit cccc7b2469.
* try to fix this mickey
* fixed all that mickey @DidierRLopes broke
* Update index.js
* generate platform fix
* black fix
---------
Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>
Co-authored-by: tehcoderer <me@tehcoderer.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
58 lines
974 B
Markdown
Vendored
58 lines
974 B
Markdown
Vendored
---
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title: skewness
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description: Learn how to calculate skewness using the 'Get Skewness' function. This
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Python function is used to calculate the skewness of time series data. Understand
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the parameters such as data, target column, and window size, and the return type
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of the function. Perform data analysis with this powerful function.
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keywords:
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- skewness
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- get skewness
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- time series data
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- target column
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- window size
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- function parameters
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- return type
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- Python
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- data analysis
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---
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<!-- markdownlint-disable MD012 MD031 MD033 -->
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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Get Skewness.
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Parameters
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----------
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data : List[Data]
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Time series data.
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target : str
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Target column name.
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window : PositiveInt
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Window size.
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Returns
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-------
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OBBject[List[Data]]
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Skewness.
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```python wordwrap
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```
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---
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## Parameters
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This function does not take standardized parameters.
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---
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## Returns
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This function does not return a standardized model
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---
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