Tabml

Latest version: v0.2.9

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0.1.9

Change logs:

* Allow users to specify a custom run_dir (95)
* Integrate with MLflow (93)

0.1.8

Change logs:
* allow feature manager fit and transform data in different stages. Trained transformers are saved in to a pickle then loaded later for transformation.
* allow model to make prediction from a totally new samples, i.e. inference.

0.1.7

Change logs:

* add CategoryEncoder which encodes a list or a dictionary of categorical features to integers 81
* support different label_to_analyze and label_to_train 85
* allow using custom ModelWrapper 86

0.1.6

Change logs:

* Remove csv data, download using `tabml.datasets` module
* Merge tests in examples into single file.
* Cast output of BoxplotOutlierClipper transform to np.array to be compatible with scikit learn api.

0.1.5

Change log:

* upgrade pandas to 1.3.1

v_013
PRs: https://github.com/tiepvupsu/tabml/pulls?q=is%3Apr+is%3Aclosed+label%3Av1.3

Change logs:

* Remove path.proto, use string as path directly
* All paths are relative to the current working directory.




v_12
Change log:

* add submodules (subfolders under tabml) into tabml package

v_011
Change logs:

* Movielen 1m dataset is downloaded directly from the official website
* Datasets are returned as a dictionary of dataframes

v_01

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