Time Series Predictor
Usage
Please refer to the following examples:
Pre requisistes installation
Windows
.\scrips\init-env.ps1
Linux or MacOS
./scripts/init-env.sh
Development
pip install -e .[dev]
Test
pip install -e .[test]
pytest -s
Build docs
Windows Requirements
Make
In an elevated powershell prompt install it by:
choco install cmake
TexLive
Download and install TexLive from ctan.org
Perl requirement
In an elevated powershell prompt install it by:
choco install activeperl
CPANM requirement
In an elevated powershell prompt install it by:
curl -L https://cpanmin.us | perl - App::cpanminus
Latex indent requirement
git clone https://github.com/cmhughes/latexindent.pl.git
cd latexindent.pl/helper-scripts
perl latexindent-module-installer.pl
ImageMagick requirement
In an elevated powershell prompt install it by:
choco install imagemagick
Build process
pip install -e .[docs]
# cd docs
.\make html
.\make latex
# sphinx-build docs/source docs/build
.\build\latex\make
Metadata
Release files for time-series-predictor 3.0.6
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 | Actions |
|---|---|---|---|---|
| time_series_predictor-3.0.6.tar.gz | 40.8 kB | Without provenance | Details for time_series_predictor-3.0.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| time_series_predictor-3.0.6-py3-none-any.whl | Python 3 | none | any | Details for time_series_predictor-3.0.6-py3-none-any.whl |
Total release size: 94.1 kB
Release files / time_series_predictor-3.0.6.tar.gz
| Download URL | time_series_predictor-3.0.6.tar.gz |
|---|---|
| Size | 40.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2fbd40edcecc37659ca7868e043ef59f5aeb954c2b91b3599269f8be18730476
|
|
BLAKE2b-256 checksum How to use checksums |
3f6d7bf5f7d11781317625e08825f85233bb3572e65b8f9d69beb91d9b9f4bb0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
|
Release files / time_series_predictor-3.0.6-py3-none-any.whl
| Download URL | time_series_predictor-3.0.6-py3-none-any.whl |
|---|---|
| Size | 53.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
ebae0f6abb418c10afea48dae5b49f13d3228193485975c74cae265b3050fd9b
|
|
BLAKE2b-256 checksum How to use checksums |
e6670810fe807392eb23e4d6fcb949e458abf29e98e56f95274c11471a6cf054
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.2
|
Security for time-series-predictor 3.0.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.