ml_evaluate

0th

Percentile

Evaluate the Model on a Validation Set

Compute performance metrics.

Usage
ml_evaluate(x, dataset)

# S3 method for ml_model_logistic_regression ml_evaluate(x, dataset)

# S3 method for ml_logistic_regression_model ml_evaluate(x, dataset)

# S3 method for ml_model_linear_regression ml_evaluate(x, dataset)

# S3 method for ml_linear_regression_model ml_evaluate(x, dataset)

# S3 method for ml_model_generalized_linear_regression ml_evaluate(x, dataset)

# S3 method for ml_generalized_linear_regression_model ml_evaluate(x, dataset)

# S3 method for ml_evaluator ml_evaluate(x, dataset)

Arguments
x

An ML model object or an evaluator object.

dataset

The dataset to be validate the model on.

Aliases
  • ml_evaluate
  • ml_evaluate.ml_model_logistic_regression
  • ml_evaluate.ml_logistic_regression_model
  • ml_evaluate.ml_model_linear_regression
  • ml_evaluate.ml_linear_regression_model
  • ml_evaluate.ml_model_generalized_linear_regression
  • ml_evaluate.ml_generalized_linear_regression_model
  • ml_evaluate.ml_evaluator
Documentation reproduced from package sparklyr, version 1.0.3, License: Apache License 2.0 | file LICENSE

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