rltrade is a library for easily creating Reinforcement Learning Models for finance.
Metadata
Release files for rltrade-test 0.7.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rltrade_test-0.7.4.tar.gz | 35.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rltrade_test-0.7.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.4 MB
Release files / rltrade_test-0.7.4.tar.gz
| Download URL | rltrade_test-0.7.4.tar.gz |
|---|---|
| Size | 35.3 MB |
| Tags | Source |
|
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 |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.11
|
Release files / rltrade_test-0.7.4-py3-none-any.whl
| Download URL | rltrade_test-0.7.4-py3-none-any.whl |
|---|---|
| Size | 89.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
975a0f6bbc9b97e6a3e28d0d1706776d0364d6cdb274bc737a0c2cf5505cca2f
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.8.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.11
|