Fix from_items AttributeError in algo/graph/mixin_groundtruth.py

When running the test `wbia/algo/graph/refresh.py::demo_refresh:0`:

```
Traceback (most recent call last):
  File "/virtualenv/env3/lib/python3.6/site-packages/xdoctest/doctest_example.py", line 556, in run
    exec(code, test_globals)
  File "<doctest:/wbia/wildbook-ia/wbia/algo/graph/refresh.py::demo_refresh:0>", line rel: 3, abs: 218, in <module>
    >>> demo_refresh()
  File "/wbia/wildbook-ia/wbia/algo/graph/refresh.py", line 232, in demo_refresh
    ys = infr.match_state_df(edges)[POSTV].values
  File "/wbia/wildbook-ia/wbia/algo/graph/mixin_groundtruth.py", line 56, in match_state_df
    match_state_df = pd.DataFrame.from_items(
AttributeError: type object 'DataFrame' has no attribute 'from_items'
```

Looking at the panda changelog, it seems `from_items` was removed in
`v1.0.0` and replaced by `from_dict`.

See pandas-dev/pandas#18529.

wbia/algo/graph/mixin_groundtruth.py

@@ -52,8 +52,14 @@ def match_state_df(infr, index):
         aid_pairs = vt.ensure_shape(aid_pairs, (None, 2))
         is_same = infr.is_same(aid_pairs)
         is_comp = infr.is_comparable(aid_pairs)
-        match_state_df = pd.DataFrame.from_items(
-            [(NEGTV, ~is_same & is_comp), (POSTV, is_same & is_comp), (INCMP, ~is_comp)]
+        match_state_df = pd.DataFrame.from_dict(
+            dict(
+                [
+                    (NEGTV, ~is_same & is_comp),
+                    (POSTV, is_same & is_comp),
+                    (INCMP, ~is_comp),
+                ]
+            )
         )
         match_state_df.index = index
         return match_state_df