Skip to main content

A low-code library for machine learning pipelines

Project description

blitzml

Automate machine learning piplines rapidly

How to install

  pip install blitzml

Usage

from blitzml.csv import Pipeline

dataset_folder = "auxiliary/data/" # contains train.csv and test.csv
ground_truth_path = "auxiliary/ground_truth.csv"
output_folder_path = "auxiliary/output/"

auto = Pipeline(dataset_folder, ground_truth_path, output_folder_path, classifier = 'RF', n_estimators = 50)

auto.preprocess()
auto.train_the_model()
auto.gen_metrics_dict()

metrics_dict = auto.metrics_dict

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

blitzml-0.2.0.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

blitzml-0.2.0-py3-none-any.whl (4.0 kB view details)

Uploaded Python 3

File details

Details for the file blitzml-0.2.0.tar.gz.

File metadata

  • Download URL: blitzml-0.2.0.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for blitzml-0.2.0.tar.gz
Algorithm Hash digest
SHA256 c13433b93a34bf3e315ec1ecd2115711635d1d854b607ea4346065cc0907f0c8
MD5 db69ef0450ff831225cba5979fe100d2
BLAKE2b-256 25bc7267f4bbd5fdd8f9a543df5d5ec75e37019f7c96086f9feb68a302033a22

See more details on using hashes here.

File details

Details for the file blitzml-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: blitzml-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 4.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.4

File hashes

Hashes for blitzml-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 97246cab53cd3782c3e7fb449c82f46bf69ed72bfc8ad6abbf04c06865018a5d
MD5 6e15448f3d95a4f3e608d389c8fecc57
BLAKE2b-256 ffa7eed47196e04d48a87cc3e7c36d02cabdd2182f1049bca90e0f456df50815

See more details on using hashes here.

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