Runs a model on a pandas DataFrame and returns the predictions.
| Input Parameter | Type | Default | Description |
|---|---|---|---|
| project_id | str | None | A unique identifier for the project. |
| model_id | str | None | A unique identifier for the model. |
| input_df | pd.DataFrame | None | A pandas DataFrame containing model input vectors as rows. |
| chunk_size | Optional[int] | 10000 | The chunk size for fetching predictions. Default is 10_000 rows chunk. |
import pandas as pd
PROJECT_ID = 'example_project'
MODEL_ID = 'example_model'
input_df = pd.read_csv('example_data.csv')
# Example without chunk size specified:
predictions = client.get_predictions(
project_id=PROJECT_ID,
model_id=MODEL_ID,
input_df=input_df,
)
# Example with chunk size specified:
predictions = client.get_predictions(
project_id=PROJECT_ID,
model_id=MODEL_ID,
input_df=input_df,
chunk_size=1000,
)
| Return Type | Description |
|---|---|
| pd.DataFrame | A pandas DataFrame containing model predictions for the given input vectors. |