snitch-ai 1.0.0

Client library for using Snitch AI's model validation platform

Snitch AI Python Client Library

This library is used to perform Snitch AI analyses in a programmatic manner. This allows for easier upload to the Snitch AI platform without having to use the UI. Additionally, this library can facilitate integration with existing MLOps pipelines and external reporting tools.

##Usage:

###Generate a quality report

import snitch_ml

snitch_ml.access_token = "VGhpcyBpcyBub3QgYW4gYWN0dWFsIGFjY2VzcyB0b2tlbi4gVG8gZ2V0I..."

project = snitch_ml.get_or_create_project("My First Project")
version = project.create_version("My New Version")

quality = version.run_quality_analysis(model, train_x, train_y, test_x, test_y)

json = quality.get_json()
quality.save_pdf("My Quality Report.pdf")

###Generate a drift report

import snitch_ml

snitch_ml.access_token = "VGhpcyBpcyBub3QgYW4gYWN0dWFsIGFjY2VzcyB0b2tlbi4gVG8gZ2V0I..."

project = snitch_ml.get_or_create_project("My First Project")
version = project.create_version("My New Version")

drift = version.run_drift_analysis(train_x, updated_x)

json = drift.get_json()
drift.save_pdf("My Drift Report.pdf")

###Usage within a hybrid environment

Snitch AI can also be used in a hybrid environment. This gives you the full power of Snitch AI's analysis engine without needing to upload your models or datasets to the cloud. If your internal security policy forbids uploading your data to a public cloud, this will likely be your preferred method of using Snitch AI.

You can learn more about Snitch AI Hybrid here: https://www.snit.ch/hybrid/

import snitch_ml

# replace this address with the address of your on-premises Snitch AI environment
snitch_ml.endpoint_address = "https://hybridenvironment.local:8443/"
snitch_ml.access_token = "VGhpcyBpcyBub3QgYW4gYWN0dWFsIGFjY2VzcyB0b2tlbi4gVG8gZ2V0I..."

# perform quality or drift analysis per usual

Full product documentation can be found at https://help.snit.ch/