A classifier that predicts a discrete target value as a function of data features.
SDKs
- macOS 10.14+
- Xcode 10.0+
Framework
- Create ML
Declaration
struct MLLogisticRegressionClassifier
StructureMLLogistic
MLLogistic
Topics
Creating and Training a Logistic Regression Classifier
init(trainingCreates a Logistic Regression Classifier from the feature columns in the training data to predict the categories in the target column.
struct MLLogisticParameters that affect the process of training a model.
let modelThe underlying parameters used when training the model.
var targetThe name of the column you selected at initialization to define which categories the classifier predicts.
var featureThe names of the columns you selected at initialization to train the classifier.
Assessing Model Accuracy
var trainingMeasurements of the classifier’s performance on the training data set.
var validationMeasurements of the classifier’s performance on the validation data set.
Evaluating a Logistic Regression Classifier
func evaluation(on: MLDataEvaluates the classifier on the provided labeled data.
Testing a Logistic Regression Classifier
func predictions(from: MLDataClassifies the provided data into the target categories.
Saving a Logistic Regression Classifier
func write(to: URL, metadata: MLModelExports a Core ML model file for use in your app.
func write(toExports a Core ML model file for use in your app.
Describing a Logistic Regression Classifier
var model: MLModelThe underlying Core ML model stored in memory.
var description: StringA text representation of the logistic regression classifier.
var debugA text representation of the logistic regression classifier that’s suitable for output during debugging.
var playgroundA description of the logistic regression classifier shown in a playground.
Relationships
See Also
Supporting Classifier Types
struct MLDecisionA classifier that predicts the target by creating rules to split the data.
struct MLRandomA classifier based on a collection of decision trees trained on subsets of the data.
struct MLBoostedA classifier based on a collection of decision trees combined with gradient boosting.
struct MLSupportA classifier that predicts a binary target value by maximizing the separation between categories.