srspy
A package for simple research experiment tracing. Python 3.
pip install srspy
For example,
from srspy import RunTrace
# ...
r = RunTrace(name="train_model", data={
"epochs": epochs,
"batch_size": batch_size,
"p": p,
"λ": lamb,
"optimizer": "adam",
"lr": 0.0001,
"gpu": GPU,
"bias": bias,
}, log_dir="./runs")
# ...
for epoch in ...:
# ...
r.flush(data={"epoch_loss": epoch_loss})
# ...
r.close()
# later
l = RunTraceLog(r.log_file_path)
losses, timestamps = l.metric("epoch_loss")
Metadata
Release files for srspy 0.0.5
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 | |
|---|---|---|---|---|
| srspy-0.0.5.tar.gz | 5.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| srspy-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.1 kB
Release files / srspy-0.0.5.tar.gz
| Download URL | srspy-0.0.5.tar.gz |
|---|---|
| Size | 5.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d15337f7f2ef80f07f1ec9ff428ffa98e031323ad281e131ed311beb9832c9a5
|
|
BLAKE2b-256 checksum How to use checksums |
aa59ccb685b7e26daace92c4ac6d86172bcaa0441c2b997e1302a168ba9d494a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.6
|
Release files / srspy-0.0.5-py3-none-any.whl
| Download URL | srspy-0.0.5-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
48abb4b2a75b4e373e000d13e5cbca6c0273be05d44c4e51bd6572d356e060a3
|
|
BLAKE2b-256 checksum How to use checksums |
9df5a66d1ca54e0d93e4d825c925e5570b2411634da58b50e95ea9da24aaa725
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.9.6
|
Security for srspy 0.0.5
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