Merge pull request #165 from automl/feature/pandas-converter

Feature/pandas converter

CHANGELOG.md

@@ -3,6 +3,7 @@
 ## Converters
 - Add support for AMLTK.
 - Add support for Optuna.
+- Add support for adding a run in DataFrame format (#137).
 - BOHB: Consider missing state as valid state as state is not provided by default (#65).
 
 ## Version-Updates

deepcave/config.py

@@ -139,9 +139,10 @@ def CONVERTERS(self) -> List[Type["Run"]]:
         """Get a list of available run converters."""
         from deepcave.runs.converters.amltk import AMLTKRun
         from deepcave.runs.converters.bohb import BOHBRun
+        from deepcave.runs.converters.dataframe import DataFrameRun
         from deepcave.runs.converters.deepcave import DeepCAVERun
         from deepcave.runs.converters.optuna import OptunaRun
         from deepcave.runs.converters.smac3v1 import SMAC3v1Run
         from deepcave.runs.converters.smac3v2 import SMAC3v2Run
 
-        return [AMLTKRun, BOHBRun, DeepCAVERun, OptunaRun, SMAC3v1Run, SMAC3v2Run]
+        return [AMLTKRun, BOHBRun, DeepCAVERun, OptunaRun, SMAC3v1Run, SMAC3v2Run, DataFrameRun]

deepcave/plugins/hyperparameter/pdp.py

@@ -2,7 +2,7 @@
 """
 # PartialDependencies
 
-This module provides utilities for generating Partial Dependency Plots (PDP).
+This module provides utilities for generating Partial Dependency Plots (PDPs).
 
 Provided utilities include getting input and output layout (filtered or non-filtered),
 processing the data and loading the outputs.