Skip to main content

Backend module for testing project

Project description

backend-module

Main backend module, which is used for developing web-app logic and deploying AI model.

Installation

Run the following to install:

pip install tqatest

Usage

from tqatest.app.services.predict import MachineLearningModel

# Generate model
model = MachineLearningModel()

# Using Example
data_input = [1.0, 2.0, 3.0, 4.0]
result = model.predict(data_input)
print(result)

Developing HelloG

To install helloG, along with the tools you need to develop and run tests, run the following in your virtualenv:

$ pip install tqatest[dev]

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

tqatest-0.0.33.tar.gz (55.6 kB view hashes)

Uploaded Source

Built Distribution

tqatest-0.0.33-py3-none-any.whl (57.6 kB view hashes)

Uploaded Python 3

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