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      Featrix Support: Uploading Data

      Getting Started with Featrix: Uploading Data

      Featrix provides a number of ways to connect data for training.

      Uploading in the User Interface

      For small amounts of data, uploading in the user interface is easy and straightforward. However, browser-based networking can be iffy at times and you may want other options.

       

       Uploading via the Python API

       You can upload to Featrix via the API. Create a new API Key, and use the sample code to instantiate a Featrix object in Python.

       

      Uploading to S3 Presigned URLs

      We are adding support for presigned private URLs that you can use with any HTTP client, such as curl. This will be exposed in the user interface shortly.

       

      Downloading to Featrix

      You can give a URL for Featrix to fetch, such as a Google Drive, Dropbox, or an S3 'public' url.

       

      Connecting Directly to a Cloud Database

      In private preview. Please contact us at hello@featrix.ai if you'd like to connect MongoDB, Snowflake, or BigQuery to Featrix directly.

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      Featrix API Example

      First, create your API keys in the user interface. Once you have the client_id and the client_secret, store them somewhere safe (environment variable, secrets manager, etc).

      Next, install the featrixclient package with pip:

      $ pip install featrixclient

      Now you can write a script or use a Jupyter notebook as follows:

       

      import featrixclient as ft

      client_id = '...'              # e.g., os.environ['FEATRIX_CLIENT_ID']

      client_secret = '...secret...' # e.g., os.environ['FEATRIX_CLIENT_SECRET_ID']

      fc = ft.Featrix(client_id, client_secret)

      # Remember, you can say help(fc), help(ft), etc. to view the built-in documentation.

      fc.upload_file("path/to/csv.csv") # Returns a FeatrixUpload object on success or will raise an exception

      At this point, you can connect the data in the user interface

       

      Additional Help

      These additional articles are here to help.

      • API Keys

        Learn about our API keys, security, and teams.

      • API Documentation

        Everything in Featrix is accessible via our documented API.

      • Multiple Data Sets

        Learn how to connect multiple data sets together, even when there is no join key.

      • Neural Function Performance

        Learn about accuracy, precision, recall, and other metrics with Featrix.

         

      • Updating Data

        Learn how to add new versions of data and train new models.

      • Billing and Credits

        Learn how billing and credits work.

      How can we help?

      Reach out via hello@featrix.ai or schedule time to meet with a developer on our team.