def output(self):
return FigureTarget(self.output_dir, "latency-scatter")
def output(self):
return FigureTarget(self.output_dir, self.filename)
def output(self):
return FigureTarget(output_dir, "PR-curve")
def output(self):
return FigureTarget(output_dir, "latency")
def output(self):
filename = f"PR-and-latency--{self.zoom_from}"
return FigureTarget(self.output_dir, filename)
def output(self):
return FigureTarget(output_dir, "scatter")
def output_legend(self):
return FigureTarget(self.output_dir,
f"{self.filename_suffix} -- legend")
def output(self):
for start, stop in self.time_ranges:
filename = f"{start:.1f}--{stop:.1f}"
yield FigureTarget(self.output_dir, filename)
def output_grid(self):
return FigureTarget(self.output_dir,
f"{self.filename_suffix} -- searchgrid")
def outputs(self) -> Sequence[FigureTarget]:
return [
FigureTarget(output_dir, f"signals {trange[0]:.2f}")
for trange in config.time_ranges
]
def output_colorbar(self):
return FigureTarget(output_dir / "cbar", self.filename)
def output(self):
return FigureTarget(self.output_dir, "valid-loss")
def output(self):
start, stop = self.time_range
return FigureTarget(
directory=self.output_dir / "steps-offline-SWR-detection",
filename=f"{start:.1f}--{stop:.1f}",
)
def output(self):
return FigureTarget(output_dir, "strips")
def output(self):
return [
FigureTarget(self.output_dir / "GEVecs", t.filename)
for t in self.trainers
]
def output_colorbar(self):
return FigureTarget(self.output_dir,
f"{self.filename_suffix} -- colorbar")
def output(self):
return FigureTarget(self.output_dir, "iso-F-lines")
def output(self):
dirr = final_output_dir / "online-BPF-replicas"
filename = self.__class__.__name__
return FigureTarget(dirr, filename)