data scientists, engineers, and researchers understand improve performance of their models with visualization by using the DLProf Viewer in a web browser or by analyzing text reports. DL Prof is available data scientists, engineers, and researchers understand improve performance of their models with visualization by using the DLProf Viewer in a web browser or by analyzing text reports. DL Prof is available data scientists, engineers, and researchers understand improve performance of their models with visualization by using the DLProf Viewer in a web browser or by analyzing text reports. DL Prof is available

parser for read_html (see note) lxml 3.8.0 HTML parser for read_html (see note) matplotlib 2.2.2 Visualization openpyxl 2.4.8 Reading / writing for xlsx files pandas-gbq 0.8.0 Google Big Query access psycopg2 TomAugspurger/effective-pandas. • Modern Pandas • Method Chaining • Indexes • Performance • Tidy Data • Visualization • Timeseries Excel charts with pandas, vincent and xlsxwriter • Using Pandas and XlsxWriter purposes: • Identifies data (i.e. provides metadata) using known indicators, important for analysis, visualization, and inter- active console display. • Enables automatic and explicit data alignment. • Allows

- 存储日志的位置。默认是 Elasticsearch。您可以使用默认的 Elasticsearch 日志存储，或将日志转发到外部日志存储。默认日志存储经过优化并测试以进行简 短存储。 visualization（可视化） - 此 UI 组件用于查看日志、图形和图表等。当前的实现是 Kibana。 在本文中我们可能会互换使用日志存储或 Elasticsearch、视觉化或 Kibana、collection 如果您不希望使用默认的 Elasticsearch 日志存储，您可以从 ClusterLogging 自定义资源 (CR) 中删除内部 Elasticsearch logStore 和 Kibana visualization 组件。删除这些组件是 可选的，但会保存资源。如需更多信息，请参阅在没有使用默认的 Elasticsearch 日志存储 时删除未使用的组件。 先决条件 先决条件 确保具有 Elasticsearch 注意 requests: memory: 256Mi redundancyPolicy: "SingleRedundancy" visualization: type: "kibana" 9 kibana: replicas: 1 collection: logs: type: "fluentd"

- 存储日志的位置。默认是 Elasticsearch。您可以使用默认的 Elasticsearch 日志存储，或将日志转发到外部日志存储。默认日志存储经过优化并测试以进行简 短存储。 visualization（可视化） - 此 UI 组件用于查看日志、图形和图表等。当前的实现是 Kibana。 在本文中我们可能会互换使用日志存储或 Elasticsearch、视觉化或 Kibana、collection 如果您不希望使用默认的 Elasticsearch 日志存储，您可以从 ClusterLogging 自定义资源 (CR) 中删除内部 Elasticsearch logStore 和 Kibana visualization 组件。删除这些组件是 可选的，但会保存资源。如需更多信息，请参阅在没有使用默认的 Elasticsearch 日志存储 时删除未使用的组件。 先决条件 先决条件 确保具有 Elasticsearch 注意 requests: memory: 256Mi redundancyPolicy: "SingleRedundancy" visualization: type: "kibana" 9 kibana: replicas: 1 collection: logs: type: "fluentd"

InfluxDB and visualized by Grafana, or it can be fed to Google Cloud monitoring for storage and visualization. 1.3.10 Log Management Fetching and analyzing log data is critical to understanding what (Elasticsearch, Logstash and Kibana) stack or Google Cloud logging for further analysis and visualization. 1.4 Kubernetes Components Kubernetes works in a master-node mode, where a master can manage RANCHER • Ranch-eye: is an haproxy and exposes cAdvisor stats to Prometheus • Grafana: visualization for data • InfluxDB: time series database specifically used to store data from Rancher server

PyTorch • Tensors • Autograd • Modular structure • Models / Layers • Datasets • Dataloader • Visualization Tools like • TensorboardX (monitor training) • PyTorchViz (visualise computation graph) • Various compiler which mode to run on. Visualization • TensorboardX (visualise training) • PyTorchViz (visualise computation graph) https://github.com/lanpa/tensorboardX/ Visualization (continued) • PyTorchViz

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 822 23 Visualization 825 xv 23.1 Basic Plotting: plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1047 31.2 Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . boxplot() failed when entire column was empty (GH8181). • Bug with messed variables in radviz visualization (GH8199). • Bug in interpolation methods with the limit keyword when no values needed interpolating

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 824 xv 23 Visualization 827 23.1 Basic Plotting: plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1049 31.2 Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . boxplot() failed when entire column was empty (GH8181). • Bug with messed variables in radviz visualization (GH8199). • Bug in interpolation methods with the limit keyword when no values needed interpolating

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 911 22 Visualization 913 22.1 Basic Plotting: plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1141 30.2 Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . boxplot() failed when entire column was empty (GH8181). • Bug with messed variables in radviz visualization (GH8199). • Bug in interpolation methods with the limit keyword when no values needed interpolating

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 907 22 Visualization 909 22.1 Basic Plotting: plot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1139 30.2 Visualization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . boxplot() failed when entire column was empty (GH8181). • Bug with messed variables in radviz visualization (GH8199). • Bug in interpolation methods with the limit keyword when no values needed interpolating