BigML + Firebase / Firestore integrations
Create centroids in BigML for new documents in a firestore collection on Firebase / Firestore
Kickstart data analysis faster with this Firebase Firestore and BigML integration. When a new document is added to your Firestore Collection, this workflow immediately creates a Centroid in BigML. This seamless link aids in swiftly transforming raw data into valuable insights, enhancing your efficiency and speed in data processing.
- When this happens...New Document Within a Firestore CollectionTriggers when a Structured Query returns new documents within a Cloud Firestore collection.
- automatically do this!Create CentroidFind out the closest cluster to your data instance.
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More things you can do with Firebase / Firestore and BigML
Discover other triggers and actions you can use with Firebase / Firestore and BigML
- PathRequired
- Order
- Location of newest objects
Try ItTriggerPolling- PathRequired
- Convert Numerics
- NewId
- Data
ActionWrite- Api_docs_info
- Stop on errorRequired
- HTTP MethodRequired
- URLRequired
- Query string parameters
- Additional request headers
- Body
ActionWrite- CollectionRequired
- QueryRequired
ActionSearch
- CollectionRequired
Try ItTriggerPolling- CollectionRequired
- Convert Numerics
- Document ID
- Data
ActionWrite- PathRequired
- Child keyRequired
- Search valueRequired
- Wrap search value in quotes
- Location of best match
ActionSearch- Resource Type
- Project Name
- Resource Name
- Resource Tag
Try ItTriggerPolling
BigML is a Machine Learning platform to solve and automate Classification, Regression, Time Series Forecasting, Cluster Analysis, Anomaly Detection, and Topic Modeling tasks. BigML seamlessly transforms data into actionable models that are used as remote services or, locally, embedded into applications to make predictions.
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Firebase Realtime Database and Google Cloud Firestore are flexible databases that give you the ability to easily store and sync app data at global scale.
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