semvec/pypi-packages huggingface dataset:
vixc 0.1.0
Edit the X clipboard with an external text editor
Requires Python: >=3.7

vixc
====

Allow editing the X11 CLIPBOARD with terminal editor in $VISUAL.  Save the
contents of the clipboard to a temporary file, edit that file with the user's
choice of editor, and when the editor exits, read the (presumably modified)
text back from the file, and put it into the clipboard.
largeproductaffinity 1.1.0
Description: large_product_affinity is used to obtain Product Affinity using big data without PySpark environment
Keywords: python, apriori, product affinity, market basket analysis


# large_product_affinity

large_product_affinity is used to obtain Product Affinity using big data without PySpark environment



Features:

1. large_product_affinity has been proven to handle millions of rows of transactional data

2. It can also handle tens of thousands of products

3. large_product_affinity requires only a dataframe with just two columns

4. It requires minimal pre-processing

5. No post-processing required



Requirements for Input data:

1. Data should be in a dataframe format of two columns

2. First column must be transaction id or any field containing transaction information

3. Second column should be products corresponding to transactions in the first column



Input:

1. Please, Choose an acceptable Support



Pre-Processing:

1. No Nulls



Post-Processing:

None



Output:

1. Product Affinity table is sorted in the order of Confidence and Lift in descending order.



Drawbacks:

1. The only drawback noted was the user's system capability to read data.

2. Please, Use Modin or Dask to read large volumes of data if Pandas fails.