Quickstart
Install the Zeno Python package.
pip install zenoml
Command Line​
Zeno includes a command line helper to set up a new project which guides you through creating the TOML configuration file:
zeno init
You can then run Zeno with
zeno config.toml
Jupyter Notebooks​
Import zeno with
import zeno from zeno
Create a Pandas DataFrame with your metadata.
Run zeno with a dict of options:
zeno({
"view": "image-classification",
"metadata": my_dataframe,
"data_path": "path/to/data",
"data_column": "image_path",
})
Adding Models and Metrics​
To add model predictions and metrics, you can write functions with the Python API wrappers.
If using the command line, create a folder with a Python file including these functions and add the folder as an option to the TOML file:
functions = "path/to/functions"
In Jupyter Notebooks, you can pass a list of functions to the functions
option:
zeno({
"functions": [model_function, accuracy_function]
})