Crowd ML CLI
This is the command line tool for Unearthed Solutions CrowdML challenges.
It is designed to make model validation and submission straightforward.
Please see the Unearthed Solutions Terms and Conditions
Commands
unearthed login
Prompts the user for their innovator portal login and stores the tokens. You must be logged in to run other commands.
unearthed new
This command asks the user which challenge they wish to download and unpack the model template for. The template will be unpacked in a named folder inside the current directory. A custom path can be specified with unearthed new /path/to/dir/
unearthed submit
This will bundle the source code in a Docker container and then submit the code to the submission pipeline. The user is provided a link to the submission tracker, which will auto-popup in their browser, so they can track the progress and logs of their submission.
You can disable the tracker from opening in the browser by specifying unearthed submit --no-tracker
unearthed tracker
Will open the tracker for the last submission that was made.
unearthed preprocess
This command will run the preprocess code in a Docker container similar to how it will execute in the submission pipeline. It can be used to validate the preprocessing code is working before submitting.
unearthed train
This command will train a model, including calling the preprocessing code, in a Docker container similar to how it will execute in the submission pipeline. It can be used to validate the training code is working before submitting.
unearthed predict
This command will simulate generating predictions on the public dataset so that the predictions can be inspected locally before submitting.
unearhted score
This command will run the scoring function to generate a score against the public dataset. It can be used to check the score against the public dataset before submitting.
Metadata
Release files for unearthed-cli 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| unearthed-cli-0.1.9.tar.gz | 14.8 kB | Without provenance | Details for unearthed-cli-0.1.9.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| unearthed_cli-0.1.9-py3-none-any.whl | Python 3 | none | any | Details for unearthed_cli-0.1.9-py3-none-any.whl |
Total release size: 37.7 kB
Release files / unearthed-cli-0.1.9.tar.gz
| Download URL | unearthed-cli-0.1.9.tar.gz |
|---|---|
| Size | 14.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a2b635f0c5423a61afc55d905c6f3c57092b7f024ae8db641a18e9eb4768e1e8
|
|
BLAKE2b-256 checksum How to use checksums |
324c0a4f47a020a1dae190f7688bb4dcb01accc9662e9536bd471df5497205ee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.4 CPython/3.8.6 Linux/5.4.109+
|
Release files / unearthed_cli-0.1.9-py3-none-any.whl
| Download URL | unearthed_cli-0.1.9-py3-none-any.whl |
|---|---|
| Size | 22.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ba24c01f15a799fd18ea84934ac7911121964fcb61af1fd71796ac0444daa578
|
|
BLAKE2b-256 checksum How to use checksums |
b79965905209da24e34e3ab368eab1fb9e6e47a0cb4c75ce6084bec4507384f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.4 CPython/3.8.6 Linux/5.4.109+
|
Security for unearthed-cli 0.1.9
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.