Fixed deployed functions overriding

Bug fixes

• Overriding deployed models.

Improvements

• Fixed scrutinizer test run failure.

Auth Bug Fix

v2.2.0

Breaking changes

• TabPy fails with 400 when it is not configure for authentication
  but credentials are provided by client.

Bug fixes

• When TabPy is running with no console attached it is not failing
  with 500 when trying to respond with 401 status.
• tabpy.query() failing when auth is configured.

Improvements

• Minor code cleanup.

v 1.1.0: Securing /info with auth

Improvements

• Authorization is now required for the /info API method.
  This method did not check authentication previously. This change is
  backwards compatible with Tableau clients.

• Improved config parsing flexibility. Previously the
  TABPY_EVALUATE_TIMEOUT setting would be set to a default if
  tabpy couldn't parse the value. Now it will throw an exception
  at startup.

TabPy v1.0.0: Tableau Supported now!

Improvements

• Minor: feature name changed to analytics extensions.
• Startup script files deleted.
• Index page updated.

Other

• TabPy is now Tableau Supported (used to be Community Supported).

v0.9.0: Fix model deployment with removing usage of pip._internal

Improvements

• Models deployment doesn't depend on pip._internal anymore.
• Package size reduced.

v 0.8.13: Python 3.8 support

Improvements

• TabPy works with Python 3.8 now.
• Documentation updates with referencing Tableau Help pages.
• Added Client.remove() method for deleting deployed models.

Bug Fixes

• Fixed failing Ctrl+C handler.
• Fixed query_timeout bug.
• Fixed None in result collection bug.
• Fixed script evaluation with missing result/return bug.
• Fixed startup failure on Windows for Python 3.8.
• Fixed bug for NaN in returned result collection.
• Fixed bug for None as a result of a script.

v 0.8.9: Ctrl+C handler and configurable HTTP requests buffer size

Improvements

• Added Ctrl+C handler
• Added configurable buffer size for HTTP requests
• Added ANOVA to supported pre-deployed models in TabPy

v0.8: TabPy is a pip (PyPi) package

Improvements

• TabPy is pip package now
• Models are deployed with the updated script

v 0.7: Migrate to Tornado 6 and other improvements

Improvements

• Added t-test model
• Fixed models call with /evaluate for HTTPS
• Migrated to Tornado 6
• Timeout is configurable with TABPY_EVALUATE_TIMEOUT config file option

Added PCA and sentiment analysis models

Improvements

• Scripts, documentation, and integration tests for models
• Small bug fixes
• Added request context logging as a feature controlled with
  TABPY_LOG_DETAILS configuration setting.
• Updated documentation for /info method and v1 API.
• Added integration tests.