Inference

Run predictions on deployed models.

All methods are accessed via client.inference.

predict()

POST/v1/predict

Predicts the target column of a dataset.

Parameters

filenamestrRequired

The name of the file.

model_idstrRequired

The model id.

version_idstrRequired

The version id.

thresholdfloatdefault: 0.5

The threshold for classification models.

delimiterstrdefault: ','

The delimiter of the file.

Returns

dict: The prediction results.

Example

1result = client.inference.predict(

2 filename="./data.csv",

3 model_id="model_abc123",

4 version_id="version_xyz789",

5 threshold=0.5,

6 delimiter=","

7)

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stream_predictions()

GET/v1/predict

Stream predictions for large datasets by processing in batches.

Parameters

filenamestrRequired

Path to CSV file to stream

model_idstrRequired

ID of the model

version_idstrRequired

ID of the model version

thresholdfloatdefault: 0.5

Classification threshold

delimiterstrdefault: ','

CSV delimiter

batch_sizeintdefault: 1000

Size of each batch to process

Example

1result = client.inference.stream_predictions(

2 filename="./data.csv",

3 model_id="model_abc123",

4 version_id="version_xyz789",

5 threshold=0.5,

6 delimiter=",",

7 batch_size=1000

8)

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