Skip to main content

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)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for predicsis_ml_sdk, version 1.4.1
Filename, size File type Python version Upload date Hashes
Filename, size predicsis_ml_sdk-1.4.1.zip (13.7 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page