Metadata-Version: 1.0
Name: predicsis_ml_sdk
Version: 1.0.0
Summary: PredicSis REST API Python bindings.
Home-page: http://predicsis.com
Author: Michal K. Szczerbak
Author-email: michal.szczerbak@predicsis.com
License: LICENSE.txt
Description: ===========================
        PredicSis ML SDK for Python
        ===========================
        
        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, target_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)
        
Platform: UNKNOWN
