Skip to main content

climaticai is a library that builds, optimizes, and evaluates machine learning pipelines

Project description

Featuretools

GitHub Actions Codecov.io PyPI PyPI Stats

climaticai is an AutoML library which builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.

Key Functionality

  • Automation - Makes machine learning easier. Avoid training and tuning models by hand. Includes data quality checks, cross-validation and more.
  • Data Checks - Catches and warns of problems with your data and problem setup before modeling.
  • End-to-end - Constructs and optimizes pipelines that include state-of-the-art preprocessing, feature engineering, feature selection, and a variety of modeling techniques.
  • Model Understanding - Provides tools to understand and introspect on models, to learn how they'll behave in your problem domain.
  • Domain-specific - Includes repository of domain-specific objective functions and an interface to define your own.

Install from PyPI

pip install climaticai

Add-ons

Update checker

Receive automatic notifications of new climaticai releases

pip install climaticai[update_checker]

Start

Load and split example data

import climaticai
X, y = climaticai.demos.load_breast_cancer()
X_train, X_test, y_train, y_test = climaticai.preprocessing.split_data(X, y, problem_type='binary')

Run AutoML

from climaticai.automl import AutoMLSearch
automl = AutoMLSearch(X_train=X_train, y_train=y_train, problem_type='binary')
automl.search()

View pipeline rankings

automl.rankings

Get best pipeline and predict on new data

pipeline = automl.best_pipeline
pipeline.predict(X_test)

Next Steps

Read more about climaticai on our documentation page:

Built at Alteryx Innovation Labs

Alteryx Innovation Labs

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

climaticai-1.33.0-py3-none-any.whl (3.3 MB 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