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Full documentation can be found atlibradocs.github.io

Install latest release version:

pip install -U libra

Install directory from github:

git clone https://github.com/Palashio/libra.gitcd librapip install .

The core functionality of libra works through theclient object. A new client object should be created for every dataset that you want to produce results for. All information about the models that're built, the plots that are generated, and the metrics are created will be stored in the object.

You can then call different queries on that client object, and the dataset you passed to it will be used.

fromlibraimportclientnewClient=client('path/to/dataset')newClient.neural_network_query('please model the median number of households')

Now, calling

newClient.info()

will return a dictionary of all the information that was generated:

dict_keys(['id','model','num_classes','plots','target','preprocesser','interpreter','test_data','losses','accuracy'])

Other queries can also be called on the same object, and will be appended to themodels dictionary.

newClient.svm_query('predict the proximity to the ocean')newClient.model().keys()dict_keys(['regression_ANN',svm'])