Class: RegressionEvaluator

eclairjs/ml/evaluation.RegressionEvaluator

new RegressionEvaluator(uid)

Parameters:

Name	Type	Description
`uid`	string

Source:

ml/evaluation/RegressionEvaluator.js, line 35

Methods

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

Parameters:

Name	Type	Description
`path`	string

Source:

ml/evaluation/RegressionEvaluator.js, line 150

Returns:

Type: module:eclairjs/ml/evaluation.RegressionEvaluator

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

Parameters:

Name	Type	Description
`extra`	ParamMap

Source:

ml/evaluation/RegressionEvaluator.js, line 131

Returns:

Type: module:eclairjs/ml/evaluation.RegressionEvaluator

evaluate(dataset) → {Promise.<number>}

Parameters:

Name	Type	Description
`dataset`	module:eclairjs/sql.Dataset

Source:

ml/evaluation/RegressionEvaluator.js, line 102

Returns:

Type: Promise.<number>

getMetricName() → {Promise.<string>}

Source:

ml/evaluation/RegressionEvaluator.js, line 42

Returns:

Type: Promise.<string>

isLargerBetter() → {Promise.<boolean>}

Source:

ml/evaluation/RegressionEvaluator.js, line 116

Returns:

Type: Promise.<boolean>

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

Parameters:

Name	Type	Description
`value`	string

Source:

ml/evaluation/RegressionEvaluator.js, line 87

Returns:

Type: module:eclairjs/ml/evaluation.RegressionEvaluator

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

Parameters:

Name	Type	Description
`value`	string

Source:

ml/evaluation/RegressionEvaluator.js, line 57

Returns:

Type: module:eclairjs/ml/evaluation.RegressionEvaluator

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

Parameters:

Name	Type	Description
`value`	string

Source:

ml/evaluation/RegressionEvaluator.js, line 72

Returns:

Type: module:eclairjs/ml/evaluation.RegressionEvaluator