Plot
neps.plot.plot
#
Plot results of a neural pipeline search run.
plot
#
plot(
root_directory: str | Path,
*,
scientific_mode: bool = False,
key_to_extract: str | None = None,
benchmarks: list[str] | None = None,
algorithms: list[str] | None = None,
consider_continuations: bool = False,
n_workers: int = 1,
x_range: tuple | None = None,
log_x: bool = False,
log_y: bool = True,
filename: str = "incumbent_trajectory",
extension: str = "png",
dpi: int = 100
) -> None
Plot results of a neural pipeline search run.
PARAMETER | DESCRIPTION |
---|---|
root_directory |
The directory with neps results (see below). |
scientific_mode |
If true, plot from a tree-structured root_directory: benchmark={}/algorithm={}/seed={}
TYPE:
|
key_to_extract |
The metric to be used on the x-axis (if active, make sure run_pipeline returns the metric in the info_dict)
TYPE:
|
benchmarks |
List of benchmarks to plot |
algorithms |
List of algorithms to plot |
consider_continuations |
If true, toggle calculation of continuation costs
TYPE:
|
n_workers |
Number of parallel processes of neps.run
TYPE:
|
x_range |
Bound x-axis (e.g. 1 10)
TYPE:
|
log_x |
If true, toggle logarithmic scale on the x-axis
TYPE:
|
log_y |
If true, toggle logarithmic scale on the y-axis
TYPE:
|
filename |
Filename
TYPE:
|
extension |
Image format
TYPE:
|
dpi |
Image resolution
TYPE:
|
RAISES | DESCRIPTION |
---|---|
FileNotFoundError
|
If the data to be plotted is not present. |
Source code in neps/plot/plot.py
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