SPIRITTBigML

BigML
Your ML work, in clear view

SPIRITT sets up BigML projects and database connectors, keeps source metadata clean and tracks every model, evaluation and prediction so your machine learning work stays organized and auditable.

SPIRITT Workspace input reading Connect me to BigML, with the BigML icon in a compact app tile.

What you can do with BigML.

  • Data connected

    Create projects and external connectors for PostgreSQL, MySQL, SQL Server or Elasticsearch data.

  • Sources kept clean

    Update source names, descriptions, tags, field settings and parsing so datasets start right.

  • Every asset tracked

    List models, ensembles, deepnets, evaluations, forecasts and batch predictions to see what exists and what changed.

Get started in three steps.

01

Open your workspace

Start a SPIRITT workspace where your agent can build systems and run machine learning operations.

A workspace connected to structured data
02

Connect BigML

Connect BigML so your agent can work with your projects, sources, connectors and models.

SPIRITT Workspace input reading Connect me to BigML, with the BigML icon in a compact app tile.
03

Hand over ML operations

Name the initiative and the standards. SPIRITT connects the data, organizes the assets and reports what changed.

Data, charts, and recurring workflow arrows

Keep every model accounted for

Questions

BigML, with SPIRITT.

01What can SPIRITT do with BigML?+
SPIRITT creates and deletes projects, creates and inspects external database connectors, updates source metadata and parsing, reads configurations, and lists datasets, models, ensembles, deepnets, evaluations, forecasts, predictions, scripts and more.
02Can it connect BigML to our databases?+
Yes. SPIRITT creates external connectors for PostgreSQL, MySQL, SQL Server and Elasticsearch inside the right project and records what each connector is for.
03Can it keep a registry of our models?+
Yes. SPIRITT lists every model type with its evaluations and keeps a refreshed registry in Notion or Google Sheets, flagging gaps such as unevaluated models.
04Which apps work well with BigML?+
Notion hosts the registry, Google Sheets charts evaluations, Google Docs carries reports, Google Drive archives them, Slack shares digests and Linear tracks connector fixes.
05Does it keep watching between reviews?+
Yes. SPIRITT runs nightly registry refreshes and weekly digests, so new evaluations, failed scripts and stale forecasts surface without anyone asking.
06How do I get started with BigML?+
Open a SPIRITT workspace, connect BigML, and hand over a mission such as building your model registry or connecting a new database to a project.
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