Workflows
=========

Continuous Categorization
-------------------------

::

  from tamr_unify_client import Client
  from tamr_unify_client.auth import UsernamePasswordAuth
  import os

  username = os.environ['UNIFY_USERNAME']
  password = os.environ['UNIFY_PASSWORD']
  auth = UsernamePasswordAuth(username, password)

  host = 'localhost' # replace with your host
  unify = Client(auth)

  project_id = "1" # replace with your project ID
  project = unify.projects.by_resource_id(project_id)
  project = project.as_categorization()

  unified_dataset = project.unified_dataset()
  op = unified_dataset.refresh()
  assert op.succeeded()

  model = project.model()
  op = model.train()
  assert op.succeeded()

  op = model.predict()
  assert op.succeeded()

Continuous Mastering
--------------------

::

  from tamr_unify_client import Client
  from tamr_unify_client.auth import UsernamePasswordAuth
  import os

  username = os.environ['UNIFY_USERNAME']
  password = os.environ['UNIFY_PASSWORD']
  auth = UsernamePasswordAuth(username, password)

  host = 'localhost' # replace with your host
  unify = Client(auth)

  project_id = "1" # replace with your project ID
  project = unify.projects.by_resource_id(project_id)
  project = project.as_mastering()

  unified_dataset = project.unified_dataset()
  op = unified_dataset.refresh()
  assert op.succeeded()

  op = project.pairs().refresh()
  assert op.succeeded()

  model = project.pair_matching_model()
  op = model.train()
  assert op.succeeded()

  op = model.predict()
  assert op.succeeded()

  op = project.published_clusters().refresh()
  assert op.succeeded()