Model lineage, data lineage and comparison Kanban in mindinsight are the same as training dashboard. In the visualization of training data, different scalar trend charts are observed by comparison dashboard to find problems, and then the lineage function is used to locate the problem causes, so as to give users the ability of efficient tuning in data enhancement and deep neural network.
Access the Training Dashboard by selecting Comparison Dashboard.
Model lineage visualization is used to display the parameter information of all training models.
Figure 1: Model parameter selection area
Figure 1 shows the model parameter selection area, which lists the model parameter tags that can be viewed. You can select required tags to view the corresponding model parameters.
Figure 2: Model lineage function area
Figure 2 shows the model lineage function area, which visualizes the model parameter information. You can select a specific area in the column to display the model information within the area.
Figure 3: Model list
Figure 3 shows all model information in groups. You can sort the model information in ascending or descending order by the specified column.
The overview page on the left shows information about optimization objective and related parameters.
Figure 4: Overview page
Figure 4 shows the optimization objective distribution, parameter importance, and scatter plots. You can select the optimization objective to view the importance of the parameters, and then click the histogram to view the scatter plot of the parameters and optimization objective.
Dataset lineage visualization is used to display data processing and augmentation information of all model trainings.
Figure 5: Data processing and augmentation operator selection area
Figure 5 shows the data processing and augmentation operator selection area, which lists names of data processing and augmentation operators that can be viewed. You can select required tags to view related parameters.
Figure 6: Dataset lineage function area
Figure 6 shows the dataset lineage function area, which visualizes the parameter information used for data processing and augmentation. You can select a specific area in the column to display the parameter information within the area.
Figure 7: Dataset lineage list
Figure 7 shows the data processing and augmentation information of all model trainings.
If user filters the model lineage and then switches to the data lineage page, the line chart will show the latest filtered column in model lineage.
Scalars Comparison can be used to compare scalar curves and loss graph between multiple trainings. For the detailed information of loss graph comparison, please refer to Training Optimization Process Visualization.
Figure 8: Scalars comparison curve area
Figure 8 shows the scalar curve comparison between multiple trainings. The horizontal coordinate indicates the training step, and the vertical coordinate indicates the scalar value.
Buttons from left to right in the upper right corner of the figure are used to display the chart in full screen, switch the Y-axis scale, enable or disable the rectangle selection, roll back the chart step by step, and restore the chart.
Figure 9: Scalars comparison function area
Figure 9 shows the scalars comparison function area, which allows you to view scalar information by selecting different trainings or tags, different dimensions of the horizontal axis, and smoothness.
To ensure performance, MindInsight implements scalars comparison with the cache mechanism and the following restrictions:
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