Skip to main content

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

Project description

Featuretools

CircleCI codecov PyPI version PyPI - Downloads

EvalML is an AutoML library that 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 evalml

Start

Load and split example data

import evalml
X, y = evalml.demos.load_breast_cancer()
X_train, X_test, y_train, y_test = evalml.preprocessing.split_data(X, y)

Run AutoML

from evalml.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.fit(X_train, y_train)
pipeline.predict(X_test)

Next Steps

Read more about EvalML on our documentation page:

Built at Alteryx Innovation Labs

Alteryx Innovation Labs

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

evalml-0.18.1.tar.gz (3.1 MB view hashes)

Uploaded Source

Built Distribution

evalml-0.18.1-py3-none-any.whl (6.1 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