Visualisation tool to support my PhD automating the process of gathering data and plotting it
Project description
TensorVis
Overview • Features • Installation • Contribute
Overview
A command line tool to automate the process of grabbing tensorboard events data and visualising them. This allows for faster result analysis and separation of the experiment logic from the visualisation aspect of the metrics logged in tensorboard.
Features
- Uploads experiment metrics logged to tensorboard to tensorboard.dev and creates a log of uploaded experiments.
- Downloads experiments from tensorboard.dev to a local csv file.
- Plots experiment metrics.
Benefits
- Faster result analysis
- Less code writting
- Separate experiments from analysis
- Allows for more research time
Installation
tensorvis
can be installed using pip with the command:
pip install tensorvis
This will install tensorvis
in the current python environment and will be available through the terminal.
Assumptions
There can be many different directory structures when running and logging experiments with tensorboard. This tool makes several assumptions to make it easier to handle dataframes resulting from downloading experiments.
tensorvis
assumes the following directory structure of tensorboard logs within the top level directory logs
, where each run
subdirectory contains the events file:
logs
├── exp_name_1
│ ├── run_1
│ └── run_2
├── exp_name_2
│ ├── run_1
│ ├── run_2
│ └── run_3
└── exp_name_3
└── run_1
For a description of how the directory structure is represented in a dataframe follow this link.
By default tensorvis
assumes a single experiment directory is provided which corresponds to a single experiment having multiple runs. All runs from a single experiment will be aggregate and averaged to plot the mean values along with the standard deviation.
Contribute
Any feedback on tensorvis
is welcomed in order to improve its usage and versatility. If you have something specific in mind please don't hesitate to create an issue or better yet open a PR!
Current Contributors
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