Code
filtering_trained
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 7
case_weights: 1
-- Training information
Training data contained 100 data points and 100 incomplete rows.
-- Operations
* Missing value column filter removed: dbl2 and dbl3, ... | Trained, weighted
Code
filtering_trained
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 7
case_weights: 1
-- Training information
Training data contained 100 data points and 100 incomplete rows.
-- Operations
* Missing value column filter removed: dbl2, ... | Trained, ignored weights
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Operations
* Missing value column filter on: <none>
Code
rec
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
outcome: 1
predictor: 10
-- Training information
Training data contained 32 data points and no incomplete rows.
-- Operations
* Missing value column filter removed: <none> | Trained
Code
print(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 7
-- Operations
* Missing value column filter on: all_predictors()
Code
prep(rec)
Message
-- Recipe ----------------------------------------------------------------------
-- Inputs
Number of variables by role
predictor: 7
-- Training information
Training data contained 100 data points and 100 incomplete rows.
-- Operations
* Missing value column filter removed: dbl2, dbl3, dbl4, dbl5, ... | Trained
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