def __str__(self):
str_ = f"{self.__class__.__name__}\n\n"
str_ += "\t{:26}: {}\n".format("Name", self.name)
str_ += "\t{:26}: {}\n".format("Datasets names", self.datasets_names)
str_ += "\t{:26}: {}\n".format("Spectral model type",
self.spectral_model.__class__.__name__)
if self.spatial_model is not None:
spatial_type = self.spatial_model.__class__.__name__
else:
spatial_type = ""
str_ += "\t{:26}: {}\n".format("Spatial model type", spatial_type)
if self.temporal_model is not None:
temporal_type = self.temporal_model.__class__.__name__
else:
temporal_type = ""
str_ += "\t{:26}: {}\n".format("Temporal model type", temporal_type)
str_ += "\tParameters:\n"
info = _get_parameters_str(self.parameters)
lines = info.split("\n")
str_ += "\t" + "\n\t".join(lines[:-1])
str_ += "\n\n"
return str_.expandtabs(tabsize=2)
def __str__(self):
str_ = self.__class__.__name__ + "\n\n"
str_ += "\tParameters:\n"
info = _get_parameters_str(self.parameters)
lines = info.split("\n")
str_ += "\t" + "\n\t".join(lines[:-1])
str_ += "\n\n"
return str_.expandtabs(tabsize=2)
def __str__(self):
str_ = self.__class__.__name__ + "\n\n"
str_ += "\t{:26}: {}\n".format("Name", self.name)
str_ += "\t{:26}: {}\n".format("Datasets names", self.datasets_names)
str_ += "\tParameters:\n"
info = _get_parameters_str(self.parameters)
lines = info.split("\n")
str_ += "\t" + "\n\t".join(lines[:-1])
str_ += "\n\n"
return str_.expandtabs(tabsize=2)
