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Resolve "release v1.2.0"

Merged Ghost User requested to merge release_v1.2.0 into master
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@@ -19,8 +19,8 @@ from mlair.helpers import TimeTracking, statistics, extract_value
@@ -19,8 +19,8 @@ from mlair.helpers import TimeTracking, statistics, extract_value
from mlair.model_modules.linear_model import OrdinaryLeastSquaredModel
from mlair.model_modules.linear_model import OrdinaryLeastSquaredModel
from mlair.model_modules.model_class import AbstractModelClass
from mlair.model_modules.model_class import AbstractModelClass
from mlair.plotting.postprocessing_plotting import PlotMonthlySummary, PlotStationMap, PlotClimatologicalSkillScore, \
from mlair.plotting.postprocessing_plotting import PlotMonthlySummary, PlotStationMap, PlotClimatologicalSkillScore, \
PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore, PlotAvailability, PlotConditionalQuantiles, \
PlotCompetitiveSkillScore, PlotTimeSeries, PlotBootstrapSkillScore, PlotAvailability, PlotAvailabilityHistogram, \
PlotSeparationOfScales
PlotConditionalQuantiles, PlotSeparationOfScales
from mlair.run_modules.run_environment import RunEnvironment
from mlair.run_modules.run_environment import RunEnvironment
@@ -293,6 +293,10 @@ class PostProcessing(RunEnvironment):
@@ -293,6 +293,10 @@ class PostProcessing(RunEnvironment):
if "PlotAvailability" in plot_list:
if "PlotAvailability" in plot_list:
avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
PlotAvailability(avail_data, plot_folder=self.plot_path, time_dimension=time_dimension)
PlotAvailability(avail_data, plot_folder=self.plot_path, time_dimension=time_dimension)
 
if "PlotAvailabilityHistogram" in plot_list:
 
avail_data = {"train": self.train_data, "val": self.val_data, "test": self.test_data}
 
PlotAvailabilityHistogram(avail_data, plot_folder=self.plot_path, )# time_dimension=time_dimension)
 
def calculate_test_score(self):
def calculate_test_score(self):
"""Evaluate test score of model and save locally."""
"""Evaluate test score of model and save locally."""
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