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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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Files for predicsis_ml_sdk, version 1.4.1
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