PredicSis REST API Python bindings.
Project description
This SDK provides the bindings for PredicSis REST API in Python. Typical usage often looks like this:
#!/usr/bin/env python # Import the PredicSisAPI object import predicsis # Initiate the API with your token predicsis.api_token="abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789" # Workflow from uploading a dataset to scores dataset = predicsis.Dataset.create(file='./Iris.dat',name='My Iris',header=True,separator='\t') dictionary = predicsis.Dictionary.create(name = 'My new dico', dataset_id = dataset.id) target = predicsis.Target.create(target_var = 'Class', dictionary_id = dictionary.id) model = predicsis.Model.create(dataset_id = dataset.id, variable_id = target.variable_id) scoresets = predicsis.Scoreset.create(dictionary_id = dictionary.id, model_id = model.id, data = './Iris.dat', header=True,separator='\t', name='Iris scored', file_name='iris_out.txt') print predicsis.Scoreset.result(scoresets)
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predicsis_ml_sdk-1.3.3.zip
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