Pca

Latest version: v2.0.9

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1.8.5

* `sklearn` changed into `scikit-learn` in both requirements and setup file.

1.8.4

* Fix for overlapping annotations in biplot issue 33
* Updated docstrings.
* Set the same order for input parameters for the plotting functions.

1.8.3

Fix for big arrowheads.

1.8.2

* Added boolean to choose whether to update outlier parameters or not.
* Example can be found [here](https://erdogant.github.io/pca/pages/html/Outlier%20detection.html#detect-new-unseen-outliers).

1.8.1

* Detect and plot outliers for new unseen transformed samples

1.8.0

* added parameter method to change between pca, sparse_pca and trunc_svd.
* Fix for trunc_svd.

Examples:

model = pca(method='sparse_pca')
model = pca(method='trunc_svd')
model = pca(method='pca')

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