Skip to main content

Standard Development Kit for interacting with the Rhino Health Federated Learning Platform

Project description

Rhino Health SDK

Programmatic interface for interacting with the Rhino Health Federated Learning Platform.

Example Usage

Please see the sample notebook files provided to you by the Rhino Health Team for additional use cases.

Create a session

import rhino_health

my_username = "rhino_user@rhinohealth.com" # Replace me
my_password = "ASecurePasswordYouSet321" # Replace me
session = rhino_health.login(username=my_username, password=my_password)

There will be three ways to interact with the API after you have a session

  1. Use defined endpoints under lib/endpoints for single actions
  2. Use our library functions for commonly performed advanced features
  3. Use our low level API Interface (advanced users)

Interact with the API via defined endpoints

We've included convenience functions for our most commonly used endpoints in the library with required input and output data classes. These can be found in rhino_health/lib/endpoints.

my_projects = session.project.get_projects()
my_first_project = my_projects[0]
my_first_project.add_collaborator(collaborating_workgroup_uid)

my_cohort = session.cohort.get_cohort(my_cohort_uid)
cohort_project = my_cohort.project
my_cohort_info = my_cohort.cohort_info

Library Functions

RhinoHealth also provides library functions which combine our basic building blocks to perform common actions.

Example:

from rhino_health.lib.metrics import RocAucWithCI

metric_configuration = RocAucWithCI(y_true_variable="label", y_pred_variable="pred", confidence_interval=95, timeout_seconds=600)
"""
data_filters=[{
        "filter_column":"is_roc",
        "filter_value":1
    }]
"""
result = my_cohort.get_metric(metric_configuration)
print(f"{result.output}")

Interact using the low level API

Please contact us for support with interacting with our low level API.

Rate Limits

The Rhino SDK handles rate limits of the API for you if you use the same session between threads and will attempt to queue requests. Excess requests will be sent with exponential backoff. If you send requests to our server from multiple locations then you may run into exceptions.

Development Notes

Please install libyaml required by our testing library (see https://vcrpy.readthedocs.io/en/latest/installation.html)

brew install libyaml
pip uninstall pyyaml
pip --no-cache-dir install pyyaml

You may need to use pip install -r requirements.txt --no-cache-dir on M1 Macs

Project details


Download files

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

Source Distribution

rhino_health-0.2.17.tar.gz (57.6 kB view details)

Uploaded Source

Built Distribution

rhino_health-0.2.17-py3-none-any.whl (65.1 kB view details)

Uploaded Python 3

File details

Details for the file rhino_health-0.2.17.tar.gz.

File metadata

  • Download URL: rhino_health-0.2.17.tar.gz
  • Upload date:
  • Size: 57.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for rhino_health-0.2.17.tar.gz
Algorithm Hash digest
SHA256 966d470ffb013e242300da32e5556440fba49ecae5ed6486e30d9ae83895a056
MD5 15f71c459537ae08479bf58e3610ec25
BLAKE2b-256 2cf4f55196ef13a0f66d16d73c9dc79347850ba23dddaf471a5c0ac386f826b0

See more details on using hashes here.

File details

Details for the file rhino_health-0.2.17-py3-none-any.whl.

File metadata

File hashes

Hashes for rhino_health-0.2.17-py3-none-any.whl
Algorithm Hash digest
SHA256 eae9d3921209b29283e0838013ac9201d10988271af100afda6fc7d915b8502b
MD5 2063e4e09d9abeb57f75e60e772d04f7
BLAKE2b-256 99c0cfc6cfcf54156889ea853307b6bb53723114b1e1a56f12bb5efeee700b48

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page