semvec/pypi-packages huggingface dataset:
deepekko 0.0.1
Generative modeling of conditional time series.
License: MIT license
Requires Python: >=3.7
Keywords: deepekko

# Welcome to DeepEkko!

**This is proprietary software, please contact kevz@mit.edu for licensing information.**

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## Introduction
Suppose we have a list of tuples `(context, sequence)` where `sequence` is a multivariate time series and `context` is a feature vector. For example, imagine a scenario where `sequence` is a list of transactions by a particular user and `context` contains features describing the user. Our goal is to train a model to generate `sequence` conditioned on `context`.

Furthermore, the solution must be able to handle:

 1. Variable length time series.
 2. Mixed data types.
    - Count
    - Continuous
    - Categorical
    - DateTime
 3. Missing values.

This model is expected to handle real-world data and is intended to be a one-size-fits-all solution to generative modeling of conditional time series.

## Installation
To install the latest stable release, you can run:

```bash
pip install deepekko
```

Alternatively, you can install from source:

```bash
git clone https://github.com/k15z/DeepEkko
cd DeepEkko
make install
```