TNO Quantum: ML - Classifiers
TNO Quantum provides generic software components aimed at facilitating the development of quantum applications.
This package provides macrolib for tno quantum classification algorithms.
Limitations in (end-)use: the content of this software package may solely be used for applications that comply with international export control laws.
Documentation
Documentation of the tno.quantum.ml.classifiers package can be found here.
Install
Easily install the package using pip:
$ python -m pip install tno.quantum.ml.classifiers
1 maintainer
Metadata
1 maintainer
Release files for tno.quantum.ml.classifiers 1.0.0
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 |
|---|---|---|---|---|
| tno_quantum_ml_classifiers-1.0.0.tar.gz | 7.1 kB | Without provenance | Details for tno_quantum_ml_classifiers-1.0.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tno_quantum_ml_classifiers-1.0.0-py3-none-any.whl | Python 3 | none | any | Details for tno_quantum_ml_classifiers-1.0.0-py3-none-any.whl |
Total release size: 14.4 kB
Release files / tno_quantum_ml_classifiers-1.0.0.tar.gz
| Download URL | tno_quantum_ml_classifiers-1.0.0.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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uv/0.8.3
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Release files / tno_quantum_ml_classifiers-1.0.0-py3-none-any.whl
| Download URL | tno_quantum_ml_classifiers-1.0.0-py3-none-any.whl |
|---|---|
| Size | 7.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.3
|
Security for tno.quantum.ml.classifiers 1.0.0
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