embedding notebook — drift & projection

{% if deployment_id %}prefect · deployment {{ deployment_id[:8] }}{% else %}prefect · unreachable{% endif %} metrics →
{{ prefect_api }}
§ 1 input dataset generator —

Six candidate generators for the embedding pipeline. Drag to rotate, scroll to zoom, ← → or 1 … 6 to select.

n samples
noise σ
timesteps
generator —
§ 2   reducermethod

Dimensionality reduction applied to each snapshot. Only reducers whose Python package is importable are shown.

    {% for r in reducers %}
    • {% endfor %}
§ 3   parameterskwargs
{% include "_reducer_form.html" with context %}
dispatching…
§ 4   recent runs {{ runs|length }} / 10 · refresh 3s ●
{% include "_runs.html" with context %}