# report scalar values
logger.report_scalar("example_scalar", "series A", iteration=0, value=100)
logger.report_scalar("example_scalar", "series A", iteration=1, value=200)
# report histogram
histogram = np.random.randint(10, size=10)
logger.report_histogram("example_histogram",
"random histogram",
iteration=1,
values=histogram)
# report confusion matrix
confusion = np.random.randint(10, size=(10, 10))
logger.report_matrix("example_confusion",
"ignored",
iteration=1,
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",
logger.report_scalar("example_scalar", "series A", iteration=1, value=200)
# report histogram
histogram = np.random.randint(10, size=10)
logger.report_histogram("example_histogram",
"random histogram",
iteration=1,
values=histogram,
xaxis="title x",
yaxis="title y")
# report confusion matrix
confusion = np.random.randint(10, size=(10, 10))
logger.report_matrix("example_confusion",
"ignored",
iteration=1,
matrix=confusion,
xaxis="title X",
yaxis="title Y")
# 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))))