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
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
blitzml-0.2.0.tar.gz
(4.2 kB
view details)
Built Distribution
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | c13433b93a34bf3e315ec1ecd2115711635d1d854b607ea4346065cc0907f0c8 |
|
MD5 | db69ef0450ff831225cba5979fe100d2 |
|
BLAKE2b-256 | 25bc7267f4bbd5fdd8f9a543df5d5ec75e37019f7c96086f9feb68a302033a22 |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 97246cab53cd3782c3e7fb449c82f46bf69ed72bfc8ad6abbf04c06865018a5d |
|
MD5 | 6e15448f3d95a4f3e608d389c8fecc57 |
|
BLAKE2b-256 | ffa7eed47196e04d48a87cc3e7c36d02cabdd2182f1049bca90e0f456df50815 |