Query scalar data from a TensorBoard event file.

This will return all the data inside the Tensorboard event files. The result for a long training is very big and can consume all your context limit if not properly filtered by tags and start_step and end_step.

• To know the available event files you can use find_events tool to get all the available event files.

• To know the available tags of a Tensorboard file, you may use list_tags which gives you all the available scalar tags in the event file.

• To know all the available training steps for each tag, you can use tag_steps tool.

• Use start_step and end_step to ask for a range of data.

• Try to use tags explicitly, otherwise the output can be huge.

Get all available scalar tags from a TensorBoard event file with optional filtering.

• To search/filter the returning tags, you can pass a list of string to the filters parameter, which will only return the tags that contain those filter strings.

Find all TensorBoard event files in the specified directory and its subdirectories.

Use this endpoint when you don't know the available events or user has not given you any event file name to analyze.

Get the steps for each specified tag from a TensorBoard event file.

• Pass tags to get return steps for only specified tags, otherwise the output can be quite large.

Get statistical measures (min, max, mean, std) for each specified tag's values.

Calculate the correlation between scalar tags in a TensorBoard event file

It will provide correlation for the given tag(s) with other tags in the tensorboard data.