semvec/pypi-packages huggingface dataset:
occ2vec 0.0.9
Occ2vec paper
License: MIT License
Requires Python: >=3.6
Keywords: text embeddings,natural language processing,deep learning,machine learning


# *** ATTENTION ***
Don't immidiately run `pip install mlregression`. See Section _Installation_.

# Occupation 2 Vector (occ2vec)

Not ready to be used publicly...

Please contact the authors below if you find any bugs or have any suggestions for improvement. Thank you!

Author: Nicolaj Søndergaard Mühlbach (n.muhlbach at gmail dot com, muhlbach at mit dot edu) 

## Code dependencies
This code has the following dependencies:

- Python >=3.6
- numpy >=1.19
- pandas >=1.3

- shutil

## Installation
Before calling `pip install occ2vec`, we recommend using `conda` to install the dependencies. In our experience, calling the following command works like a charm:
After this, install `occ2vec` by calling `pip install occ2vec`.
Note that without installing the dependencies, the package will not work. As of now, it does not work when installing the dependencies via `pip install`. The reason is that we are using the Intel® Extension for Scikit-learn to massively speed up computations, but the dependencies are not properly installed via `pip install`.

## Usage
We demonstrate the use of __occ2vec__ below.

```python
#------------------------------------------------------------------------------
# Libraries
#------------------------------------------------------------------------------
# Standard

# This library

```

<!-- ## Example
We provide an example script in `demo.py`. -->