Merge 7f37ffd into 119a5a9

docs/conf.py

@@ -70,7 +70,7 @@
 # The short X.Y version.
 version = "0.6"
 # The full version, including alpha/beta/rc tags.
-release = "0.6.0-dev.24+pr.90"
+release = "0.6.0-dev.25+pr.91"
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/releasehistory.rst

@@ -101,7 +101,7 @@ Version 0.6.0-dev
 - Re-designed the API of `adtk.visualization.plot` (0.6.0-dev.20-pr.80)
 - Added `Black` and `isort` to developer requirement and CI/CD check (0.6.0-dev.21-pr.88)
 - Added consistency check between training and testing inputs in multivariate models (0.6.0-dev.23+pr.89)
-- Improved time index check in time-dependent models (0.6.0-dev.24+pr.90)
+- Improved time index check in time-dependent models (0.6.0-dev.24+pr.90, 0.6.0-dev.25+pr.91)
 
 Version 0.5.5 (Feb 24, 2020)
 ===================================

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
 name = adtk
-version = 0.6.0-dev.24+pr.90
+version = 0.6.0-dev.25+pr.91
 author = Arundo Analytics, Inc.
 maintainer = Tailai Wen
 maintainer_email = tailai.wen@arundo.com

src/adtk/__init__.py

@@ -20,4 +20,4 @@
 
 """
 
-__version__ = "0.6.0-dev.24+pr.90"
+__version__ = "0.6.0-dev.25+pr.91"

src/adtk/_base.py

@@ -300,7 +300,9 @@ def _predict(self, df: pd.DataFrame) -> Union[pd.Series, pd.DataFrame]:
                         self._cols, list(set(self._cols) - set(df.columns))
                     )
                 )
-            df_copy = df.loc[:, self._cols].copy()
+            df_copy = (
+                df.loc[:, self._cols].copy() if self._cols else df.copy()
+            )  # in a customized hd model that doesn't need fit, self._cols is empty
             predicted = self._predict_core(df_copy)
         else:
             raise TypeError("Input must be a pandas DataFrame.")