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Description:
hiddenlayersdk 0.1.2
HiddenLayer SDK Python (Beta)
Hiddenlayer is a Python SDK that provides a simple and efficient way to interact with the Hiddenlayer API, a platform for building and deploying machine learning models. The SDK allows developers to easily protect models using the Hiddenlayer API, without having to write complex code or manage the underlying infrastructure.
Contents
Installation
Getting started
Code examples
Interface stability
Installation
Install from PyPi using pip, a package manager for Python.
pip install hiddenlayer-sdk
Scanning models on different platforms such as AWS S3 and Huggingface are supported. You can install the dependenices yourself or via optional dependencies:
pip install hiddenlayer-sdk[aws]
pip install hiddenlayer-sdk[azure]
pip install hiddenlayer-sdk[hf]
Getting Started
Once you've installed the hiddenlayer package, you can instantiate the HiddenlayerServiceClient for the SaaS platform as follows:
from hiddenlayer import HiddenlayerServiceClient
hl_client = HiddenlayerServiceClient(
host="https://api.us.hiddenlayer.ai",
api_id=..., # Your Hiddenlayer API Client ID
api_key=... # Your Hiddenalyer API Secret Key
)
If you are using the Enterprise version of the production, you can instantiate the HiddenlayerServiceClient as follows:
from hiddenlayer import HiddenlayerServiceClient
hl_client = HiddenlayerServiceClient(
host="https://your.hiddenlayer.enterprise.url",
)
Scanning Models
hl_client.model_scanner.scan_file(
model_name="name_of_the_model",
model_path="path/to/model/file.pkl"
)
Using AIDR for Predictive Models
Note: This is only supported using the SaaS version of the platform.
model = hl_client.model.create_model(model_name="example_model")
hl_client.aidr_predictive.submit_vectors(
model_id=model.sensor_id,
requestor_id="custom-source-id",
input_vectors=X,
output=y
)
Code Examples
Code examples can be found in the repo here
Interface Stability
Hiddenlayer is actively working on stabilizing the Hiddenlayer SDK for Python's interfaces. You are highly encouraged to pin the exact dependency version.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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