matrix=confusion)
# report 3d surface
logger.report_surface("example_surface",
"series1",
iteration=1,
matrix=confusion,
xtitle='title X',
ytitle='title Y',
ztitle='title Z')
# report 2d scatter plot
scatter2d = np.hstack(
(np.atleast_2d(np.arange(0, 10)).T, np.random.randint(10, size=(10, 1))))
logger.report_scatter2d("example_scatter",
"series_xy",
iteration=1,
scatter=scatter2d)
# report 3d scatter plot
scatter3d = np.random.randint(10, size=(10, 3))
logger.report_scatter3d("example_scatter_3d",
"series_xyz",
iteration=1,
scatter=scatter3d)
# reporting images
m = np.eye(256, 256, dtype=np.float)
logger.report_image("test case", "image float", iteration=1, image=m)
m = np.eye(256, 256, dtype=np.uint8) * 255
logger.report_image("test case", "image uint8", iteration=1, image=m)
m = np.concatenate((np.atleast_3d(m), np.zeros((256, 256, 2), dtype=np.uint8)),
# report 3d surface
logger.report_surface("example_surface",
"series1",
iteration=1,
matrix=confusion,
xaxis="title X",
yaxis="title Y",
zaxis="title Z")
# report 2d scatter plot
scatter2d = np.hstack(
(np.atleast_2d(np.arange(0, 10)).T, np.random.randint(10, size=(10, 1))))
logger.report_scatter2d("example_scatter",
"series_xy",
iteration=1,
scatter=scatter2d,
xaxis="title x",
yaxis="title y")
# report 3d scatter plot
scatter3d = np.random.randint(10, size=(10, 3))
logger.report_scatter3d("example_scatter_3d",
"series_xyz",
iteration=1,
scatter=scatter3d,
xaxis="title x",
yaxis="title y",
zaxis="title z")
# reporting images
m = np.eye(256, 256, dtype=np.float)