python-ml-collections 0.1.1-2 source package in Ubuntu
Changelog
python-ml-collections (0.1.1-2) unstable; urgency=medium * Team Upload. * Remove docs before building (Closes: #1012233) * Bump Standards-Version to 4.6.2 (no changes needed) * Add python-is-python3 to test-deps * Add Suggests on python-is-python3 * Update copyright years * d/lintian-overrides: Override FP -- Nilesh Patra <email address hidden> Sat, 01 Apr 2023 11:29:28 +0530
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Mantic | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| python-ml-collections_0.1.1-2.dsc | 1.7 KiB | 90c5a89f76f8a90db11d73773580deaeb443066c23d810b62f76f24e5eff631d |
| python-ml-collections_0.1.1.orig.tar.gz | 74.3 KiB | ce554a40fc28510d5e214e82b4476b9410f921607d1426c2ee88a45db42a4605 |
| python-ml-collections_0.1.1-2.debian.tar.xz | 4.5 KiB | 5c9cf40cd23f0311ee46e1308997fdb31445137ba2ed8047ff2968141f1722d0 |
No changes file available.
Binary packages built by this source
- python3-ml-collections: collections designed for ML usecases
The package provices two classes called ConfigDict and FrozenConfigDict that
are "dict-like" data structures with dot access to nested elements. Together,
they are supposed to be used as a main way of expressing configurations of
experiments and models.
.
Features:
* Dot-based access to fields.
* Locking mechanism to prevent spelling mistakes.
* Lazy computation.
* FrozenConfigDict() class which is immutable and hashable.
* Type safety.
* "Did you mean" functionality.
* Human readable printing (with valid references and cycles), using
valid YAML format.
* Fields can be passed as keyword arguments using the ** operator.
.
There are two exceptions to the strong type-safety of the ConfigDict.
int values can be passed in to fields of type float. In such a case, the
value is type-converted to a float before being stored. Similarly,
all string types (including Unicode strings) can be stored in fields
of type str or unicode.
