Travis build changes

.gitignore

@@ -5,6 +5,11 @@ figures/*
 src/*
 *.md.tmp
 
+# gets copied over during deployment
+docs/index.md
+
+site/*
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

.travis.yml

@@ -32,7 +32,7 @@ script:
   # - jupyter nbconvert --config nbconvert_config.py --execute
 
   # Build docs using mkdocs
-  - mkdocs build
+  - make docs
 
 
 # This is an example to deploy to a branch through Travis.

Makefile

@@ -1,20 +1,21 @@
 .PHONY: docs
 
-execute_params = --execute --ExecutePreprocessor.timeout=600
+# execute_params = --execute --ExecutePreprocessor.timeout=600
 
-RAWNBS = $(wildcard notebooks/*.ipynb)
-HTMLS =  $(patsubst notebooks/%.ipynb, ../docs/%.html, $(rawnbs))
+# RAWNBS = $(wildcard notebooks/*.ipynb)
+# HTMLS =  $(patsubst notebooks/%.ipynb, ../docs/%.html, $(rawnbs))
 
-htmldocs:
-	jupyter nbconvert notebooks/bayesian-estimation-multi-sample.ipynb --output ../docs/bayesian-estimation-multi-sample.html
-	jupyter nbconvert notebooks/degrees-of-freedom.ipynb --output ../docs/degrees-of-freedom.html
-	jupyter nbconvert notebooks/dirichlet-multinomial-bayesian-proportions.ipynb --output ../docs/dirichlet-multinomial-bayesian-proportions.html
-	jupyter nbconvert notebooks/mixture-model.ipynb --output ../docs/mixture-model.html
-	jupyter nbconvert notebooks/hierarchical-modelling.ipynb --output ../docs/hierarchical-modelling.html
-	jupyter nbconvert notebooks/poisson-regression.ipynb --output ../docs/poisson-regression.html
+# htmldocs:
+# 	jupyter nbconvert notebooks/bayesian-estimation-multi-sample.ipynb --output ../docs/bayesian-estimation-multi-sample.html
+# 	jupyter nbconvert notebooks/degrees-of-freedom.ipynb --output ../docs/degrees-of-freedom.html
+# 	jupyter nbconvert notebooks/dirichlet-multinomial-bayesian-proportions.ipynb --output ../docs/dirichlet-multinomial-bayesian-proportions.html
+# 	jupyter nbconvert notebooks/mixture-model.ipynb --output ../docs/mixture-model.html
+# 	jupyter nbconvert notebooks/hierarchical-modelling.ipynb --output ../docs/hierarchical-modelling.html
+# 	jupyter nbconvert notebooks/poisson-regression.ipynb --output ../docs/poisson-regression.html
 
-html: $(HTMLS)
-	jupyter nbconvert $< --output $@
+# html: $(HTMLS)
+# 	jupyter nbconvert $< --output $@
 
 docs:
-	mkdocs serve
+	cp README.md docs/index.md
+	mkdocs build

README.md

@@ -36,6 +36,7 @@ Papers:
 - [Bayesian Estimation Supersedes the t-Test](https://doi.org/10.1037/a0029146)
 
 Videos:
+
 - [Computational Statistics I @ SciPy 2015](https://www.youtube.com/watch?v=fMycLa1bsno)
 - [Computational Statistics II @ SciPy 2015](https://www.youtube.com/watch?v=heFaYLKVZY4)
 - [Bayesian Statistical Analysis with Python @ PyCon 2017](https://www.youtube.com/watch?v=p1IB4zWq9C8)

environment.yml

@@ -7,7 +7,7 @@ dependencies:
 - pymc3=3.8
 - mkl-service
 - theano
-- arviz
+- arviz>=0.6.0
 - missingno
 - pygpu
 - scikit-learn

mkdocs.yml

@@ -5,11 +5,17 @@ theme:
   palette:
     primary: 'green'
     accent: 'green'
-  logo:
-    icon: 'library_books'
+  icon:
+    logo: material/equalizer
+  features:
+    - instant
+    - tabs
 
 plugins:
-  - search
+  - search:
+      separator: '[\s\-\.]+'
+      lang:
+        - en
   - mknotebooks:
       execute: false
       write_markdown: true
@@ -31,11 +37,11 @@ repo_url: 'https://github.com/ericmjl/bayesian-analysis-recipes'
 
 extra:
   social:
-    - type: 'envelope'
+    - icon: 'material/mail'
       link: 'http://www.shortwhale.com/ericmjl'
-    - type: 'github'
+    - icon: 'fontawesome/brands/github'
       link: 'https://github.com/ericmjl'
-    - type: 'twitter'
+    - icon: 'fontawesome/brands/twitter'
       link: 'https://twitter.com/ericmjl'
-    - type: 'linkedin'
+    - icon: 'fontawesome/brands/linkedin'
       link: 'https://linkedin.com/in/ericmjl'