Class: RegressionEvaluator

eclairjs/ml/evaluation. RegressionEvaluator

new RegressionEvaluator(uid)

Parameters:
Name Type Description
uid string
Source:

Methods

(static) load(path) → {module:eclairjs/ml/evaluation.RegressionEvaluator}

Parameters:
Name Type Description
path string
Source:
Returns:
Type
module:eclairjs/ml/evaluation.RegressionEvaluator

copy(extra) → {module:eclairjs/ml/evaluation.RegressionEvaluator}

Parameters:
Name Type Description
extra module:eclairjs/ml/param.ParamMap
Source:
Returns:
Type
module:eclairjs/ml/evaluation.RegressionEvaluator

evaluate(dataset) → {number}

Parameters:
Name Type Description
dataset modue:eclairjs/sql.Dataset
Source:
Returns:
Type
number

getMetricName() → {string}

Source:
Returns:
Type
string

isLargerBetter() → {boolean}

Source:
Returns:
Type
boolean

setLabelCol(value) → {module:eclairjs/ml/evaluation.RegressionEvaluator}

Parameters:
Name Type Description
value string
Source:
Returns:
Type
module:eclairjs/ml/evaluation.RegressionEvaluator

setMetricName(value) → {module:eclairjs/ml/evaluation.RegressionEvaluator}

Parameters:
Name Type Description
value string
Source:
Returns:
Type
module:eclairjs/ml/evaluation.RegressionEvaluator

setPredictionCol(value) → {module:eclairjs/ml/evaluation.RegressionEvaluator}

Parameters:
Name Type Description
value string
Source:
Returns:
Type
module:eclairjs/ml/evaluation.RegressionEvaluator