diff -ur patsy-0.5.1/doc/stateful-transforms.rst patsy-0.5.1.doc/doc/stateful-transforms.rst
--- patsy-0.5.1/doc/stateful-transforms.rst 2018-10-28 04:04:50.000000000 +0100
+++ patsy-0.5.1.doc/doc/stateful-transforms.rst 2018-11-12 21:25:46.469485037 +0100
@@ -35,6 +35,7 @@
Now we can build a design matrix and see what we get:
.. ipython:: python
+ :okexcept:
mat = dmatrix("naive_center(x)", data)
mat
@@ -49,6 +50,7 @@
transformation, like so:
.. ipython:: python
+ :okexcept:
new_data = {"x": [5, 6, 7, 8]}
# Broken!
@@ -76,6 +78,7 @@
way:
.. ipython:: python
+ :okexcept:
fixed_mat = dmatrix("center(x)", data)
fixed_mat
@@ -83,6 +86,7 @@
But if we then feed in our new data, we also get out the correct result:
.. ipython:: python
+ :okexcept:
# Correct!
build_design_matrices([fixed_mat.design_info], new_data)[0]
@@ -97,6 +101,7 @@
just similar enough for you to miss the problem until it's too late.)
.. ipython:: python
+ :okexcept:
data_chunked = [{"x": data["x"][:2]},
{"x": data["x"][2:]}]
@@ -108,6 +113,7 @@
But if we use the proper stateful transform, this just works:
.. ipython:: python
+ :okexcept:
dinfo = incr_dbuilder("center(x)", lambda: iter(data_chunked))
# Correct!
@@ -133,6 +139,7 @@
for prediction as well:
.. ipython:: python
+ :okexcept:
# Correct!
build_design_matrices([dinfo], new_data)[0]