CreateML

Training Data 6

Load, shape, and represent the tabular data you use to train and evaluate models.

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  MLDataTableiOS 15.0+

  A table of data for training or evaluating a machine learning model.
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  MLDataColumniOS 15.0+

  A column of typed values in a data table.
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  MLUntypedColumniOS 15.0+

  A column of untyped values in a data table.
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  MLDataValueiOS 15.0+

  The value of a cell in a data table.
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  MLDataValueConvertibleiOS 15.0+

  A type that can convert itself to and from a data value.
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  MLSplitStrategyiOS 15.0+

  Data partitioning approaches, typically for creating a validation dataset

Image Models 3

Estimators that train Core ML models for image classification, object detection, and image styling.

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  MLImageClassifier

  A model you train to classify images.
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  MLObjectDetector

  A model you train to classify one or more objects within an image.
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  MLStyleTransfer

  A model you train to apply an image’s style to other images or videos.

Sound and Motion Models 5

Estimators that train models recognizing sounds, activities, and hand-based actions or poses.

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  MLSoundClassifier

  A machine learning model you train with audio files to recognize and identify sounds on a device.
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  MLActionClassifier

  A model you train with videos to classify a person’s body movements.
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  MLActivityClassifier

  A model you train to classify motion sensor data.
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  MLHandActionClassifier

  A task that creates a hand action classification model by training with
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  MLHandPoseClassifier

  A task that creates a hand pose classification model by training with images

Text and Language Models 4

Estimators that train models for text classification, named-entity tagging, and word representation.

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  MLTextClassifier

  A model you train to classify natural language text.
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  MLWordTagger

  A word-tagging model you train to classify natural language text at the word level.
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  MLWordEmbedding

  A map of strings in a vector space that enable your app to find similar
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  MLGazetteer

  A collection of terms and their labels, which augments a tagger that analyzes natural language text.

Tabular Classifiers and Regressors 11

General-purpose classifier and regressor estimators that learn from tabular feature data.

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  MLBoostedTreeClassifieriOS 15.0+

  A classifier based on a collection of decision trees combined with gradient boosting.
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  MLBoostedTreeRegressoriOS 15.0+

  A regressor based on a collection of decision trees combined with gradient boosting.
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  MLDecisionTreeClassifieriOS 15.0+

  A classifier that predicts the target by creating rules to split the data.
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  MLDecisionTreeRegressoriOS 15.0+

  A regressor that estimates the target by learning rules to split the data.
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  MLRandomForestClassifieriOS 15.0+

  A classifier based on a collection of decision trees trained on subsets of the data.
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  MLRandomForestRegressoriOS 15.0+

  A regressor based on a collection of decision trees trained on subsets of the data.
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  MLLinearRegressoriOS 15.0+

  A regressor that estimates the target as a linear function of the features.
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  MLLogisticRegressionClassifieriOS 15.0+

  A classifier that predicts a discrete target value as a function of data features.
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  MLSupportVectorClassifier

  A classifier that predicts a binary target value by maximizing the separation between categories.
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  MLClassifier

  A model you train to classify data into discrete categories.
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  MLRegressor

  A model you train to estimate continuous values.

Recommendation 1

An estimator that trains a model to recommend items from interaction data.

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  MLRecommender

  A model you train to make recommendations based on item similarity,

Evaluation Metrics 5

Types that report a trained model's accuracy and performance on validation or test data.

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  MLClassifierMetricsiOS 15.0+

  Metrics you use to evaluate a classifier’s performance.
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  MLRegressorMetricsiOS 15.0+

  Metrics you use to evaluate a regressor’s performance.
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  MLObjectDetectorMetrics

  Metrics you use to evaluate an object detector’s performance.
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  MLRecommenderMetrics

  Metrics you use to evaluate a recommender’s performance.
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  MLWordTaggerMetrics

  Metrics you use to evaluate a word tagger’s performance.

Training Sessions and Progress 9

Manage, monitor, checkpoint, and visualize long-running asynchronous training sessions.

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  MLJobiOS 15.0+

  The representation of a model’s asynchronous training session you use to
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  MLTrainingSessioniOS 15.0+

  The current state of a model’s asynchronous training session.
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  MLTrainingSessionParametersiOS 15.0+

  The configuration settings for a training session.
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  MLCheckpointiOS 15.0+

  The state of a model’s asynchronous training session at a specific point in
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  MLProgressiOS 15.0+

  A convenience type that exposes information about the progress of a training
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  MLPhaseiOS 15.0+

  The possible states of a training session.
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  MLVisualizable

  An image visualization of machine learning types.
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  MLStreamingVisualizable

  A sequence of image visualizations for machine learning types.
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  MLIdentifier

  A type the Create ML framework can use as a machine learning identifier.

Model Metadata 1

Author-supplied information attached to a trained Core ML model.

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  MLModelMetadataiOS 15.0+

  Information about a model that’s stored in a Core ML model file.

Bounding Box Configuration 3

Constants describing how object-detection bounding boxes are anchored, oriented, and measured.

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  MLBoundingBoxAnchor

  A location within a bounding box that an annotation’s coordinates use as
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  MLBoundingBoxCoordinatesOrigin

  The location within an image that an annotation’s coordinates use as their
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  MLBoundingBoxUnits

  The units a bounding box annotation uses to define its position and size.

Errors 1

Errors that can occur while creating or training a model.

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  MLCreateErroriOS 15.0+

  The errors Create ML throws while performing various operations, such as

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