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2D 图表报告

scatter_hist_confusion_mat_reporting.py 示例展示了以下2D格式的系列数据报告：

ClearML 在 ClearML Web UI 中报告这些表格，实验详情 > 图表 标签。

当脚本运行时，它会在examples项目中创建一个名为2D plots reporting的实验。

直方图​

通过调用Logger.report_histogram()来报告直方图。 要在同一图表上报告多个系列，请使用相同的title参数。对于不同的图表，请使用不同的 title参数。使用mode参数指定直方图的类型。mode的值为group（默认）、 stack和relative。

# report a single histogram
histogram = np.random.randint(10, size=10)
Logger.current_logger().report_histogram(
    title="single_histogram",
    series="random histogram",
    iteration=iteration,
    values=histogram,
    xaxis="title x",
    yaxis="title y",
)
    
# report two histograms on the same graph (plot)
histogram1 = np.random.randint(13, size=10)
histogram2 = histogram * 0.75
Logger.current_logger().report_histogram(
    title="two_histogram",
    series="series 1",
    iteration=iteration,
    values=histogram1,
    xaxis="title x",
    yaxis="title y",
)
    
Logger.current_logger().report_histogram(
    "two_histogram",
    "series 2",
    iteration=iteration,
    values=histogram2,
    xaxis="title x",
    yaxis="title y",
)

图片

图片

混淆矩阵​

通过调用Logger.report_confusion_matrix()来报告混淆矩阵。

# report confusion matrix
confusion = np.random.randint(10, size=(10, 10))
Logger.current_logger().report_confusion_matrix(
    title="example_confusion",
    series="ignored",
    iteration=iteration,
    matrix=confusion,
    xaxis="title X",
    yaxis="title Y",
)

image

# report confusion matrix with 0,0 is at the top left
Logger.current_logger().report_confusion_matrix(
    title="example_confusion_0_0_at_top",
    series="ignored",
    iteration=iteration,
    matrix=confusion,
    xaxis="title X",
    yaxis="title Y",
    yaxis_reversed=True,
)

2D散点图​

通过调用Logger.report_scatter2d()来报告2D散点图。 使用mode参数来绘制带有线条（默认情况下）、标记或同时带有线条和标记的数据点。

scatter2d = np.hstack(
    (np.atleast_2d(np.arange(0, 10)).T, np.random.randint(10, size=(10, 1)))
)
    
# report 2d scatter plot with lines
Logger.current_logger().report_scatter2d(
    title="example_scatter",
    series="series_xy",
    iteration=iteration,
    scatter=scatter2d,
    xaxis="title x",
    yaxis="title y",
)
    
# report 2d scatter plot with markers
Logger.current_logger().report_scatter2d(
    title="example_scatter",
    series="series_markers",
    iteration=iteration,
    scatter=scatter2d,
    xaxis="title x",
    yaxis="title y",
    mode='markers'
)
    
# report 2d scatter plot with lines and markers
Logger.current_logger().report_scatter2d(
    title="example_scatter",
    series="series_lines+markers",
    iteration=iteration,
    scatter=scatter2d,
    xaxis="title x",
    yaxis="title y",
    mode='lines+markers'
)

image