Skip to content
Snippets Groups Projects
Commit febd62e6 authored by lukas leufen's avatar lukas leufen
Browse files

added custom_object loading to post-processing

parent 090e1e08
No related branches found
No related tags found
3 merge requests!90WIP: new release update,!89Resolve "release branch / CI on gpu",!70Resolve "Update custom_objects to reload models"
Pipeline #31843 passed
...@@ -17,6 +17,7 @@ from src.data_handling.bootstraps import BootStraps ...@@ -17,6 +17,7 @@ from src.data_handling.bootstraps import BootStraps
from src.datastore import NameNotFoundInDataStore from src.datastore import NameNotFoundInDataStore
from src.helpers import TimeTracking from src.helpers import TimeTracking
from src.model_modules.linear_model import OrdinaryLeastSquaredModel from src.model_modules.linear_model import OrdinaryLeastSquaredModel
from src.model_modules.model_class import AbstractModelClass
from src.plotting.postprocessing_plotting import PlotMonthlySummary, PlotStationMap, PlotClimatologicalSkillScore, \ from src.plotting.postprocessing_plotting import PlotMonthlySummary, PlotStationMap, PlotClimatologicalSkillScore, \
PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore
from src.plotting.postprocessing_plotting import plot_conditional_quantiles from src.plotting.postprocessing_plotting import plot_conditional_quantiles
...@@ -117,7 +118,8 @@ class PostProcessing(RunEnvironment): ...@@ -117,7 +118,8 @@ class PostProcessing(RunEnvironment):
except NameNotFoundInDataStore: except NameNotFoundInDataStore:
logging.info("no model saved in data store. trying to load model from experiment path") logging.info("no model saved in data store. trying to load model from experiment path")
model_name = self.data_store.get("model_name", "general.model") model_name = self.data_store.get("model_name", "general.model")
model = keras.models.load_model(model_name) model_class: AbstractModelClass = self.data_store.get("model", "general.model")
model = keras.models.load_model(model_name, custom_objects=model_class.custom_objects)
return model return model
def plot(self): def plot(self):
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Please register or to comment