brent 0.2.1

# brent

> They're good DAGs brent.

## What it is

Suppose we have a graph like below.


Calculating the marginal probability is defined via;

```math
p(A, B, C, D, E, F, G) = p(A|E) p(B|A) p(C|A,B) p(D|A,B,E) p(E) p(F|C,G) p(G)
```

Brent is a small, but fun, tool that makes it easy to explore causal graphical modelling and do-calculus.

## inference plots



## planned usage

```python
from brent import DAG, Query
dag = Graph(data=df)

dag.add_edge("smoking", "tar")
dag.add_edge("tar", "cancer")
dag.add_edge("smoking", "cancer")
```

## project structure

```
│
├── data/ <- The original, immutable data dump.
├── notebooks/ <- Jupyter notebooks. Naming convention is a short `-` delimited
│ description, a number (for ordering), and the creator's initials,
│ e.g. `initial-data-exploration-01-hg`.
├── tests/ <- Unit tests.
├── dagger/ <- Python module with source code of this project.
├── Makefile <- Makefile with commands like `make environment`
└── README.md <- The top-level README for developers using this project.
```

## installation

Install `brent` in the virtual environment via:

```bash
$ pip install --editable .
```

You can generate documentation locally by running:

```bash
$ pdoc --html --overwrite --template-dir doc/pdoc_template --http 0.0.0.0:12345 dagger
```