Constructor
new LogisticRegressionTrainingSummary()
Extends
Methods
featuresCol() → {Promise.<string>}
Field in "predictions" which gives the features of each instance as a vector.
- Inherited From:
- Source:
Returns:
- Type
- Promise.<string>
labelCol() → {Promise.<string>}
Field in "predictions" which gives the true label of each instance (if available).
- Inherited From:
- Source:
Returns:
- Type
- Promise.<string>
objectiveHistory() → {Promise.<Array.<float>>}
objective function (scaled loss + regularization) at each iteration.
Returns:
- Type
- Promise.<Array.<float>>
predictions() → {module:eclairjs/sql.DataFrame}
Dataframe output by the model's `transform` method.
- Inherited From:
- Source:
Returns:
probabilityCol() → {Promise.<string>}
Field in "predictions" which gives the probability of each class as a vector.
- Inherited From:
- Source:
Returns:
- Type
- Promise.<string>
totalIterations() → {Promise.<integer>}
Number of training iterations until termination
Returns:
- Type
- Promise.<integer>