long short term memory 'lstm' model predicts future market peices
Release files for lstm-dl-model 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 | |
|---|---|---|---|
| lstm_dl_model-1.0.0.tar.gz | 16.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lstm_dl_model-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.7 kB
Release files / lstm_dl_model-1.0.0.tar.gz
| Download URL | lstm_dl_model-1.0.0.tar.gz |
|---|---|
| Size | 16.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
09d897dec1a6ca25cfcda1b846f941a07ac17c7cef8e37add622b54a29d506a5
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.6
|
Release files / lstm_dl_model-1.0.0-py3-none-any.whl
| Download URL | lstm_dl_model-1.0.0-py3-none-any.whl |
|---|---|
| Size | 15.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
84054c4b53089a12f15a0acf0ab1fa69630cfb5afe5dcd629f82e6a9b41143f4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.0.1 CPython/3.12.6
|