UI Drag & Drop
Drag & Drop a file through the Arize UI
Arize supports CSV, Parquet, and Avro. The required model schema parameters vary based on the specific model type selected. Learn more about model types here.
embeddings_features and list_of_strings are available for Parquet and Avro files.Uploading a local file is as simple as dropping a file into the upload container and can be broken down into a few easy steps.
- Go to the 'Upload Data' page from the left-side navigation and click on Local Files
Select "Local Files" from Upload Data Page
- You can get started by choosing the model type and downloading a sample file.
- Upload a file from your desktop by either:
- Dragging the file into the upload container
- Clicking 'Select File'
Drag file or click "Select File"
Fill out model schema
- Validate your file; errors will be displayed on this page
Validate file
- 'Start Job' to create a file import job for your local file
- You’ll be taken to the Job Status tab to see your local file uploads
Successful local file import
- Go to Job Status Tab to see your local file uploads
Job Status of All Local File imports
Model schema parameters are a way of organizing model inference data to ingest to Arize. When configuring your schema, be sure to match your file column headers with the model schema. Use a form or a simple JSON-based schema to specify the column mapping.
prediction_id | prediction_ts | user_id | feature/metropolitan_area | industry | prediction_score | actual_score | prediction_label | actual_label | tag/zone |
|---|---|---|---|---|---|---|---|---|---|
1fcd50f4689 | 1637538845 | 82256 | 1PA | engineering | 0.07773696 | 0 | No Claims | No Claims | us-east-1 |
{
"prediction_id": "prediction_id",
"timestamp": "prediction_ts",
"features": "feature/", #with explicit features (must pick explicit or implicit)
"prediction_score": "prediction_score",
"prediction_label": "prediction_label",
"actual_score": "actual_score",
"actual_label": "actual_label",
"tags": "tag/",
"shap_values": "shap/",
"exclude": ["user_id"]
}
We currently support uploading one file at a time, and a maximum file size of 300 mb.
Last modified 20h ago