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Datarobot Score

Retrieves predictions from a DataRobot model that was deployed in Snowflake.

Parameters

Name
Type
Description
Is Optional
function_name
value
name of the custom Snowflake function that represents the DataRobot model
​
include_cols
column_list
List of columns to select
​
num_explains
value
(Optional) the number of prediction explanations to also retrieve. Prediction explanations are computationally expensive. If you supply num_explains, you must also supply threshold_low and threshold_high.
True
threshold_low
value
(Optional) predictions lower than this threshold will also calculate an explanation.
True
threshold_high
value
(Optional) predictions higher than this threshold will also calculate an explanation.
True

Example

toscore = rasgo.get.dataset(resource_key='adventureworks_sales_by_day_toscore')
​
# with explanations
scored = toscore.datarobot_score(function_name = 'PUBLIC.DEMO_PREDICT_NEXT_WEEK_SALES_V2',
include_cols = ['ORDERDATE','SALESAMOUNT'],
num_explains=2,
threshold_low=100,
threshold_high=100000)
​
# without explanations
scored = toscore.datarobot_score(function_name = 'PUBLIC.DEMO_PREDICT_NEXT_WEEK_SALES',
include_cols = ['ORDERDATE','SALESAMOUNT'])
​
scored.preview()

Source Code