jax-metrics

View on PyPIReverse Dependencies (1)

0.2.5 jax_metrics-0.2.5-py3-none-any.whl

Wheel Details

Project: jax-metrics
Version: 0.2.5
Filename: jax_metrics-0.2.5-py3-none-any.whl
Download: [link]
Size: 76721
MD5: 77ae069c93b26c1c648d8201cc34ccad
SHA256: bd67889c964881dd7fa442d00fd48f35387ded29615e974b5ee47ec52fab3b58
Uploaded: 2023-03-16 18:59:16 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: jax-metrics
Version: 0.2.5
Author: Cristian Garcia
Author-Email: cgarcia.e88[at]gmail.com
Home-Page: https://cgarciae.github.io/jax_metrics
Project-Url: Repository, https://github.com/cgarciae/jax_metrics
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.8,<3.12
Requires-Dist: einops (>=0.4.0)
Requires-Dist: jax
Requires-Dist: jaxlib
Requires-Dist: optax (>=0.1.1)
Requires-Dist: simple_pytree (>=0.1.3)
Description-Content-Type: text/markdown
[Description omitted; length: 9485 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry-core 1.5.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
jax_metrics/__init__.py sha256=U--IMKw8d6Xz7VhNgjBzI2TkdNa2lNtohe9tsB_mESc 320
jax_metrics/losses/__init__.py sha256=4lu_Zr8twbCiUIDpcGfsDCk10bbt-C8YNu-rlpn0i6Y 968
jax_metrics/losses/cosine_similarity.py sha256=fz8bzI8lK4tQ07JF1C8q1A14q_-YmsJZGm8oMbWBYCg 5456
jax_metrics/losses/crossentropy.py sha256=dmAPvc5n7fgKf5DfxeJVJ_f_xUKshdxXjKyEZXc_UTA 6022
jax_metrics/losses/huber.py sha256=zH7BUOHUk4OK1acTQ73dLvIA1zV-MSDKEKjoOBvpgBU 6175
jax_metrics/losses/loss.py sha256=GsquRQD_G7grvUXYuocwer4RaZsH02RY5_K5SKOjEcg 7461
jax_metrics/losses/mean_absolute_error.py sha256=oP34d4N9-N9kJIRcyIK3VOFkcX9tWTDKC9Y1QzDfr5U 4012
jax_metrics/losses/mean_absolute_percentage_error.py sha256=O2XI7uYF0EMAaemfuIRTY4sf41CsLVuOfrj-PvDxa0w 4466
jax_metrics/losses/mean_squared_error.py sha256=mKIKFBq80uEI62rJSRpPV3LOBjl_9_h9HB-ZQohHw5o 4011
jax_metrics/losses/mean_squared_logarithmic_error.py sha256=QMhXXbHDc_qqdXLvc0n7YWqeR8Kjy8snLFi45eYUTVQ 4542
jax_metrics/metrics/__init__.py sha256=tsg4uFtLuu4hV7l5d0JeGuybz2PpjZSMSf7O1_6E3Qw 565
jax_metrics/metrics/accuracy.py sha256=QFACDY4_v-5VdEsKV-Fh1Q-kDTayYDngWK4BORjVXyo 11872
jax_metrics/metrics/losses.py sha256=afIwEHb9K5-P0PtrZ-UQOpllfG1AG_xdpRy-FtWLXas 1807
jax_metrics/metrics/mean.py sha256=TO4MrL-4ylCQO-soZEJesPECgoNQoPyJZUxqMML7fHk 2004
jax_metrics/metrics/mean_absolute_error.py sha256=O8fYjSIfQoIYgb7Pev39CKwZeu6-4-h2zeYRyj_TGcc 2241
jax_metrics/metrics/mean_square_error.py sha256=-yjOOZmH9XDr-qeGoKGxt5q1vcjmdtP7eM6Bv3sNjf8 2230
jax_metrics/metrics/metric.py sha256=0NJKqsvK5zETjd75lxZGgQFwIwrptbHf0HjF7DMyWW0 7521
jax_metrics/metrics/metrics.py sha256=ve_QffYBouziYtgsVdnaXYxTmTBXFzEubsitUncfn9A 4135
jax_metrics/metrics/reduce.py sha256=feMsGapVgVwpCyKX3wNmZgPbsW5Vp5Q7w29Od2Esofg 4702
jax_metrics/metrics/tm_port/__init__.py sha256=sYvwoocni9PQQXRxrTfeztcGxs4FLtKTJyo3uup_UnQ 153
jax_metrics/metrics/tm_port/classification/__init__.py sha256=QIMahzTikd7yC1NdJaBFJm9TjrCyOcHIzSs2Q9aw0do 1771
jax_metrics/metrics/tm_port/classification/accuracy.py sha256=orWn5qk1MaF1YYog_uDLiUUzbbpywZTMA42y3trYdLo 12795
jax_metrics/metrics/tm_port/classification/stat_scores.py sha256=C272ciO7w9JtWSt3mF-H9hsnuJ_0N0S4ByH5m0N0DuI 11882
jax_metrics/metrics/tm_port/functional/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
jax_metrics/metrics/tm_port/functional/classification/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
jax_metrics/metrics/tm_port/functional/classification/accuracy.py sha256=vfVviyu3OkfjcCIhC1qQ4gXowj7v6_RgzfXD_9nvLTo 18857
jax_metrics/metrics/tm_port/functional/classification/stat_scores.py sha256=Th39bfD_TaiD0yCRKcnfLbMd69xdFIEnIUiv86Px87s 17155
jax_metrics/metrics/tm_port/utilities/__init__.py sha256=lE-tpRngdqVFP9KbhnNSQxU7PFAq6i8RfA27DjQ8G5k 336
jax_metrics/metrics/tm_port/utilities/checks.py sha256=CLF1gfD-6X5i5j_zwzdqRxpuShIpNqH9q6IizLShurI 25943
jax_metrics/metrics/tm_port/utilities/data.py sha256=yzhhoqYuU6rulZGSvpRbhImBhxEDKJWKfIvrmCy-MWE 7702
jax_metrics/metrics/tm_port/utilities/distributed.py sha256=kX0PEie6gt1QJnLvbEl76n1vivi50QyUF3R_JU4Z6sY 5212
jax_metrics/metrics/tm_port/utilities/enums.py sha256=XqKi9X3DL7VtIJhUhA5XMX177rli9KesUuNcqnlql4g 1781
jax_metrics/metrics/tm_port/utilities/exceptions.py sha256=8glC7i89xmNWDIfXhl5wt80p1Jq8FOUqU4P108RasZI 120
jax_metrics/metrics/tm_port/utilities/imports.py sha256=gEOV9i7tasVBleS4YT1Ebew3y5LE6Z_7RSuC4ARabkY 2654
jax_metrics/metrics/tm_port/utilities/prints.py sha256=p7U2NVhf59CN-rL7uWXgIdeW9HqCTydwzISq9ULy7dY 930
jax_metrics/metrics/utils.py sha256=XDzsRQLT0nvcgOUHBnPzkLT4AQiH9fGDelUiBe2ESAk 33038
jax_metrics/regularizers/__init__.py sha256=3m0im-0-ldyCGPoNBNv9-ojdArTt-npytwNgDTskQTU 78
jax_metrics/regularizers/l1l2.py sha256=gyAS4kCH9gJevouUJvZSDipwMpZVk378eIWr0LLz-ak 2495
jax_metrics/types.py sha256=KlyejsCa2jLCZ_9ziU9RqhqCgAW-jftzf94YDc4DbEM 363
jax_metrics/utils.py sha256=Kq_i3GCJ564j-ioH9KFWWQsywAQ2S9-NzlC4649s1GM 2342
jax_metrics-0.2.5.dist-info/LICENSE sha256=oadd5dRC-7kwmULtjMEw5gX3reNHDWcG9FhTtQW5mQM 1072
jax_metrics-0.2.5.dist-info/METADATA sha256=yQkSqjh1MMkRRJcy7Gdtu99EtyN0UaRK0zlZS8xQfgw 10258
jax_metrics-0.2.5.dist-info/WHEEL sha256=kLuE8m1WYU0Ig0_YEGrXyTtiJvKPpLpDEiChiNyei5Y 88
jax_metrics-0.2.5.dist-info/RECORD