fiddler-client 0.6.17

Python client for Fiddler Service

Fiddler Client

Python client for interacting with Fiddler. Provides a user-friendly interface to our REST API and enables event publishing for use with our monitoring features.

Requirements

Requires Python >= Python-3.6.3.

Installation

$ pip3 install fiddler-client

API Example Usage

For examples of interacting with our APIs, please check out our Quick Start Guide as well as our Samples Github and tutorial notebooks:

• Setup Fiddler client
• How to monitor data
• How to monitor with surrogate explanation
• How to import sklearn regression model
• Debug model import problems
• How to generate a model from your tabular data
• Publish realtime events to Fiddler
• How to import a model hosted on an external server
• Explaining model hosted on Sagemaker
• How to upload a keras model using tabular data with IG enabled
• How to upload a tf model using text data with IG enabled

Version History

0.6.17

• Features

  • Added new arguments to ModelInfo.from_dataset_info()
    • preferred_explanation_method to express a preferred default explanation algorithm for a model
    • custom_explanation_names to support user-provided explanation algorithms which the user will implement on their model object via package.py.

0.6.16

• Features

  • Minor improvements to publish_events_log() to circumvent datatype conversion issues

0.6.15

• Features

  • Added strict name checks

0.6.14

• Features

  • Added client-native multithreading support for publish_events_log() using new parameters num_threads and batch_size

0.6.13

• Features

  • Added fdl.generate_sample_events() to client
    • API for generating monitoring traffic to test out Fiddler
  • Added fdl.trigger_pre_computation() to client
    • Triggers various precomputation steps within the Fiddler service based on input parameters.
  • Optionally add proxies to FiddlerApi() init

0.6.12

• Features

  • Added fdl.publish_parquet_s3() to client
    • Publishes parquet events file from S3 to Fiddler instance. Experimental and may be expanded in the future.

0.6.10

• Features

  • Added fdl.register_model() to client
    • Register a model in fiddler. This will generate a surrogate model, which can be replaced later with original model.