new ClassificationModel()
Represents a classification model that predicts to which of a set of categories an example
belongs. The categories are represented by double values: 0.0, 1.0, 2.0, etc.
Methods
predict(testData) → {module:eclairjs.RDD|float}
Predict values for the given data set using the model trained.
Parameters:
Name | Type | Description |
---|---|---|
testData |
module:eclairjs.RDD | module:eclairjs/mllib/linalg.Vector | RDD representing data points to be predicted or Vector array representing a single data point |
Returns:
an RDD[float] where each entry contains the corresponding prediction or float predicted category from the trained model
- Type
- module:eclairjs.RDD | float