Bump test-dependency ezmsg-simbiophys to 1.3.0 and fixup README.md

Author: cboulay

README.md

@@ -6,10 +6,42 @@ This repository contains a Python package with modules for machine learning (ML)
 
 Processing units include dimensionality reduction, linear regression, and classification that can be initialized with known weights, or adapted on-the-fly with incoming (labeled) data. Machine-learning code depends on `river`, `scikit-learn`, `numpy`, and `torch`.
 
-## Getting Started
+## Installation
 
-This ezmsg namespace package is still highly experimental and under active development. It is not yet available on PyPI, so you will need to install it from source. The easiest way to do this is to use the `pip` command to install the package directly from GitHub:
+Install from PyPI:
 
 ```bash
-pip install git+https://github.com/ezmsg-org/ezmsg-learn
+pip install ezmsg-learn
 ```
+
+Or install the latest development version:
+
+```bash
+pip install git+https://github.com/ezmsg-org/ezmsg-learn@dev
+```
+
+## Dependencies
+
+- `ezmsg`
+- `ezmsg-baseproc`
+- `ezmsg-sigproc`
+- `numpy`
+- `scipy`
+- `scikit-learn`
+- `river`
+
+
+## Development
+
+We use [`uv`](https://docs.astral.sh/uv/getting-started/installation/) for development.
+
+1. Install [`uv`](https://docs.astral.sh/uv/getting-started/installation/) if not already installed.
+2. Fork this repository and clone your fork locally.
+3. Open a terminal and `cd` to the cloned folder.
+4. Run `uv sync` to create a `.venv` and install dependencies.
+5. (Optional) Install pre-commit hooks: `uv run pre-commit install`
+6. After making changes, run the test suite: `uv run pytest tests`
+
+## License
+
+MIT License - see [LICENSE](LICENSE) for details.

pyproject.toml

@@ -27,7 +27,7 @@ lint = [
     "ruff>=0.12.9",
 ]
 test = [
-    "ezmsg-simbiophys>=1.0.0",
+    "ezmsg-simbiophys>=1.3.0",
     "hmmlearn>=0.3.3",
     "pytest>=8.4.1",
 ]