A minimal demo textcat project for spaCy v3. The demo data comes from the tutorials/textcat_docs_issues project.
The project.yml
defines the data assets required by the
project, as well as the available commands and workflows. For details, see the
spaCy projects documentation.
The following commands are defined by the project. They
can be executed using spacy project run [name]
.
Commands are only re-run if their inputs have changed.
Command | Description |
---|---|
convert |
Convert the data to spaCy's binary format |
train |
Train the textcat model |
evaluate |
Evaluate the model and export metrics |
package |
Package the trained model as a pip package |
visualize-model |
Visualize the model's output interactively using Streamlit |
The following workflows are defined by the project. They
can be executed using spacy project run [name]
and will run the specified commands in order. Commands are only re-run if their
inputs have changed.
Workflow | Steps |
---|---|
all |
convert → train → evaluate → package |
The following assets are defined by the project. They can
be fetched by running spacy project assets
in the project directory.
File | Source | Description |
---|---|---|
assets/docs_issues_training.jsonl |
Local | Demo training data |
assets/docs_issues_eval.jsonl |
Local | Demo development data |