semvec/pypi-packages huggingface dataset:
nlizamac-models-betann 0.1.0
A python library for forecast models for the ZORRONES.
License: Apache License 2.0
Requires Python: >=3.6
Keywords: timeseries forecasting arima

is a python library for easy manipulation and forecasting of time series.
It contains a variety of models, from classics such as ARIMA to neural networks.
The models can all be used in the same way, using `fit()` and `predict()` functions,
similar to scikit-learn. The library also makes it easy to backtest models,
and combine the predictions of several models and external regressors. Darts supports both
univariate and multivariate time series and models.

## Install

We recommend to first setup a clean python environment for your project with at least python 3.6 using your favorite tool ([conda](https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html "conda-env"), [venv](https://docs.python.org/3/library/venv.html), [virtualenv](https://virtualenv.pypa.io/en/latest/) with or without [virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/)).

### Quick Install

Once your environment is setup you can install darts using the pip package:

    pip install 'nlizamac_models_betann'

### Step-by-step Install

For more detailed install instructions you can refer to our installation guide at the end of this page.

## Example Usage

Create a `TimeSeries` object from a Pandas DataFrame, and split it in train/validation series:

   


### Tests

The gradle setup works best when used in a python environment, but the only requirement is to have `pip` installed for Python 3+

To run all tests at once just run
```bash
./gradlew test_all
```

alternatively you can run
```bash
./gradlew unitTest_all # to run only unittests
./gradlew coverageTest # to run coverage
./gradlew lint         # to run linter
```

To run the tests for specific flavours of the library, replace `_all` with `_core`, `_fbprophet`, `_pmdarima` or `_torch`.

### Documentation

To build documantation locally just run
```bash
./gradlew buildDocs
```
After that docs will be available in `./docs/build/html` directory. You can just open `./docs/build/html/index.html` using your favourite browser.