kaze · PyPI

What is Kaze?

Have you downloaded a supervised-learning code-block base, and wish someone has specified how to download the dataset needed?

Kaze is a CLI for managing dataset dependencies in ML projects. It is a simple, yet powerful tool for managing dataset dependencies in your project. It is designed to be used in a way that is similar to yarn or npm, but with a focus on the dataset dependency.

Installation

pip install kaze

Example Usage

To download a dataset, you can use the following command:

kaze add -n flowers https://www.robots.ox.ac.uk/\~vgg/data/flowers/102/102flowers.tgz --images $DATASETS/jpg

this will populate your .kaze.yml file with the following:

datasets:
  - name: flowers
    source: https://www.robots.ox.ac.uk/~vgg/data/flowers/102/102flowers.tgz
    images: $DATASETS/jpg

You can also add a dataset from a local file:

kaze add mnist.zip

Usage and Examples

❯ kaze --help
Usage: kaze [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  add
  list

kaze list

❯ kaze list
mnist at /Users/ge/kaze_debug/mnist

kaze add ...

❯ kaze add --help
Usage: kaze add [OPTIONS] [SOURCE]

Options:
  -n, --name TEXT
  -o, --path TEXT    target location for the dataset
  -i, --images TEXT  image path
  --labels TEXT      label path
  --voice TEXT       voice path
  --video TEXT       video path
  -q, --quiet        Verbose mode
  -z, --unzip        Decompress the dataset
  -v, --verbose      Verbose mode
  --help             Show this message and exit.

Metadata

Release files for kaze 0.0.15

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Built distribution (wheel)

Table of built distributions (wheels) for kaze 0.0.15
File	Interpreter	ABI	Platform	Reset
kaze-0.0.15-py3-none-any.whl 8.7 kB Mar 30, 2022	Python 3	none	any	Details

Release files / kaze-0.0.15-py3-none-any.whl

Download URL	kaze-0.0.15-py3-none-any.whl
Size	8.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ac9ef7f74292669d83312d2df9ea2ba58577544dabc5e0f0e4f7053927a3b715`
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Upload date	Mar 30, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12`