keaml 0.1.3

KeaML Python SDK

KeaML Deployments

This is a Python library that serves as an SDK for deploying models in KeaML. It provides a simple way to initialize a client and deploy machine learning models.

Table of Contents

• Installation
• Getting Started
• Usage
• API Key

Installation

You can install the latest version of KeaML SDK from PyPI:

pip install keaml

Getting Started

Before you can use KeaML SDK, you'll need to initialize the client with an API key.

API Key

To get your API key, visit KEAML Settings and generate a new API key.

Usage

Here's a simple example to get you started:

import keaml

# Initialize the client with your API key
kea_client = keaml.init(api_key="your_api_key_here")

# Deploy a machine learning model
kea_client.deploy(model_object, model_name, framework_name)

Methods

init(api_key: str) -> KeaMLSDKClient

Initializes the KeaML SDK client.

• Parameters:

  • api_key (str): Your KEAML API key.

• Returns:

  • An instance of KeaMLSDKClient.

KeaMLSDKClient.deploy(model: Any, name: str, framework: str) -> None

Deploys a machine learning model.

• Parameters:

  • model (Any): The machine learning model object.
  • name (str): The name of the model.
  • framework (str): The framework used for the model (e.g., "tensorflow", "pytorch").

• Returns:

  • None