Merge pull request #17 from wd60622/relax-env

relax environment and tox

.github/workflows/docs.yml

@@ -1,4 +1,4 @@
-name: docs
+name: Docs
 on:
   push:
     branches:
@@ -17,4 +17,4 @@ jobs:
         with:
           python-version: 3.9
       - run: pip install mkdocs mkdocs-material mkdocs-markdownextradata-plugin mkdocs-git-revision-date-localized-plugin "mkdocstrings[python]"
-      - run: mkdocs gh-deploy --force
+      - run: mkdocs gh-deploy --force

.github/workflows/publish.yml

@@ -1,4 +1,4 @@
-name: Python package
+name: Publish Python Package
 on:
   push:
     tags:

.github/workflows/tests.yml

@@ -0,0 +1,26 @@
+name: Tests
+
+on:
+  - push
+  - pull_request
+
+jobs:
+  test:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [ubuntu-latest, windows-latest]
+        python-version: ['3.8', '3.9', '3.10', '3.11', '3.12']
+
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v2
+      with:
+        python-version: ${{ matrix.python-version }}
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install tox tox-gh-actions
+    - name: Test with tox
+      run: tox

README.md

@@ -1,4 +1,6 @@
-# conjugate priors
+# Conjugate Models
+![Tests](https://github.com/wd60622/conjugate/actions/workflows/tests.yml/badge.svg) [![PyPI version](https://badge.fury.io/py/conjugate-models.svg)](https://badge.fury.io/py/conjugate-models) [![docs](https://github.com/wd60622/conjugate/actions/workflows/docs.yml/badge.svg)](https://github.com/wd60622/conjugate/actions/workflows/docs.yml)
+
 Bayesian conjugate models in Python
 
 
@@ -48,4 +50,4 @@ plt.show()
 
 <img height=400 src="docs/images/binomial-beta.png" title="Binomial Beta Comparison">
 
-More examples on in the [documentation](https://wd60622.github.io/conjugate/).
+More examples on in the [documentation](https://wd60622.github.io/conjugate/).

docs/index.md

@@ -3,6 +3,7 @@ hide:
     - navigation 
 ---
 # Conjugate Models
+![Tests](https://github.com/wd60622/conjugate/actions/workflows/tests.yml/badge.svg) [![PyPI version](https://badge.fury.io/py/conjugate-models.svg)](https://badge.fury.io/py/conjugate-models) [![docs](https://github.com/wd60622/conjugate/actions/workflows/docs.yml/badge.svg)](https://github.com/wd60622/conjugate/actions/workflows/docs.yml)
 
 Bayesian conjugate models in Python
 
@@ -125,4 +126,4 @@ p = sigmoid(p_raw)
 
 ## Resources
 
-- [Conjugate Priors](https://en.wikipedia.org/wiki/Conjugate_prior)
+- [Conjugate Priors](https://en.wikipedia.org/wiki/Conjugate_prior)

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "conjugate-models"
-version = "0.2.0"
+version = "0.3.0"
 description = "Bayesian Conjugate Models in Python"
 authors = ["Will Dean <wd60622@gmail.com>"]
 license = "MIT"
@@ -26,10 +26,10 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = ">=3.8,<4.0"
-matplotlib = "^3.6.2"
-numpy = "^1.24.3"
+matplotlib = "*"
+numpy = "*"
 pandas = "*"
-scipy = "<1.10.0"
+scipy = "*"
 
 
 [tool.poetry.group.dev.dependencies]
@@ -39,13 +39,34 @@ pypika = "^0.48.9"
 pymc = "^5.5.0"
 black = "^23.3.0"
 ipython = "8.8.0"
+scikit-learn = "^1.3.2"
+tox = "^4.11.4"
 
 
 [tool.poetry.group.docs.dependencies]
 mkdocs = "^1.4.3"
 mkdocs-material = "^9.1.17"
 mkdocstrings = {extras = ["python"], version = "^0.22.0"}
 
+[tool.tox]
+legacy_tox_ini = """
+    [tox]
+    min_version = 4.0
+    isolated_build = true
+    env_list =
+        py312
+        py311
+        py310
+        py39
+        py38
+
+    [testenv]
+    deps = 
+        pytest 
+        pypika
+    commands = pytest tests
+"""
+
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

tests/test_models.py

@@ -15,6 +15,7 @@
     NegativeBinomial,
     Poisson,
     NormalInverseGamma,
+    MultivariateStudentT,
 )
 from conjugate.models import (
     get_binomial_beta_posterior_params,
@@ -26,6 +27,7 @@
     poisson_gamma_posterior_predictive,
     get_exponential_gamma_posterior_params,
     linear_regression,
+    linear_regression_posterior_predictive,
 )
 
 
@@ -237,3 +239,8 @@ def between(x, lower, upper):
     assert between(intercept, *np.quantile(beta_samples[:, 0], q=q))
     assert between(slope, *np.quantile(beta_samples[:, 1], q=q))
     assert between(sigma, *np.quantile(sigma_samples, q=q))
+
+    posterior_predictive = linear_regression_posterior_predictive(
+        normal_inverse_gamma=posterior, X=X
+    )
+    assert isinstance(posterior_predictive, MultivariateStudentT)