Metadata-Version: 2.4
Name: fastpragma
Version: 0.0.1
Summary: A practical PRAGMA model implementation for tokenized tabular event histories
Author-email: Risheek kumar B <b.risheekkumar@gmail.com>
License: Apache-2.0
Project-URL: Repository, https://github.com/risheekkumarb/fastpragma
Project-URL: Documentation, https://risheekkumarb.github.io/fastpragma/
Keywords: nbdev,pragma,deep-learning,transformers,tabular
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: polars>=1.0
Requires-Dist: numpy>=1.26
Requires-Dist: pandas>=2.0
Requires-Dist: torch>=2.2
Requires-Dist: fastai>=2.7
Requires-Dist: fastcore>=1.5
Requires-Dist: tokenizers>=0.15
Requires-Dist: fastprogress>=1.0
Dynamic: license-file

# fastpragma


<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->

This file will become your README and also the index of your
documentation.

## Developer Guide

If you are new to using `nbdev` here are some useful pointers to get you
started.

### Install fastpragma in Development mode

``` sh
# make sure fastpragma package is installed in development mode
$ pip install -e .

# make changes under nbs/ directory
# ...

# compile to have changes apply to fastpragma
$ nbdev_prepare
```

## Usage

### Installation

Install latest from the GitHub
[repository](https://github.com/risheekkumarb/fastpragma):

``` sh
$ pip install git+https://github.com/risheekkumarb/fastpragma.git
```

or from [conda](https://anaconda.org/risheekkumarb/fastpragma)

``` sh
$ conda install -c risheekkumarb fastpragma
```

or from [pypi](https://pypi.org/project/fastpragma/)

``` sh
$ pip install fastpragma
```

### Documentation

Documentation can be found hosted on this GitHub
[repository](https://github.com/risheekkumarb/fastpragma)’s
[pages](https://risheekkumarb.github.io/fastpragma/). Additionally you
can find package manager specific guidelines on
[conda](https://anaconda.org/risheekkumarb/fastpragma) and
[pypi](https://pypi.org/project/fastpragma/) respectively.

## How to use

Fill me in please! Don’t forget code examples:

``` python
1+1
```

    2
