Forecasting
Install
First, clone the repo like and cd to its root path, like so:
git clone git@github.com:JaumeAmoresDS/forecasting.git
cd forecasting
Then install dependencies using one of the following options:
Option 1: installing from forecasting.yml file
conda env create -n forecasting --file forecasting.yml
conda activate forecasting
Option 2: installing from requirements file
conda create -n forecasting python=3.10 pip
conda activate forecasting
pip install requirements.txt
Option 3: installing from setup.py
conda create -n forecasting python=3.10 pip
conda activate forecasting
pip install -e .[dev]
How to use
Run:
python scripts/run_pipeline.py
This will save the predictions into a file called predictions.parquet.
To display it, you can do something like:
import pandas as pd
predictions = pd.read_parquet ('predictions.parquet')
predictions.plot ();
1 maintainer
Metadata
1 maintainer
Release files for tsforecast 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tsforecast-0.0.1.tar.gz | 22.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsforecast-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.1 kB
Release files / tsforecast-0.0.1.tar.gz
| Download URL | tsforecast-0.0.1.tar.gz |
|---|---|
| Size | 22.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/4.0.2 CPython/3.10.9
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Release files / tsforecast-0.0.1-py3-none-any.whl
| Download URL | tsforecast-0.0.1-py3-none-any.whl |
|---|---|
| Size | 23.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.2 CPython/3.10.9
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