Index C | D | E | F | G | I | L | M | N | O | P | Q | R | S | T | U | V | X C classifier convert TensorFlow 1 image nearest neighbor updatable neural network updatable pipeline updatable preview and produce compiling an ML program composite operators compression post-training training-time types of compute precision compute units conversion options convert compressed models convert to ML program neural network target format workflow convert_to parameter Core ML NeuralNetwork custom operators D DKMPalettizer dtype E enumerated shapes F flexible input shapes G GPU runtime graph passes I images input and output preprocessing set the scalar type ImageType, [1] input shapes input type options, [1] L LibSVM linear_quantize_weights, OpLinearQuantizerConfig LinearQuantizer M MagnitudePruner metadata PyTorch model TensorFlow model Metal Performance Shaders Graph framework MIL, [1] MIL operators ML program compared to neural network compiling compute precision compute units convert image classifier convert to minimum_deployment_target precision type save and load save as model package set model metadata target format use with Xcode MLModel overview and spec utilities MLMultiArray, [1] Model Intermediate Language, [1] model package, [1] model preview types in Xcode model scripting model tracing N nearest neighbor classifier neural network classifier compared to ML program compress weights convert to minimum_deployment_target target format O OpPalettizerConfig, OptimizationConfig OpThresholdPrunerConfig, OpMagnitudePrunerConfig optimization accuracy and performance overview workflow optimize.coreml optimize.torch output type options, [1] P palettization overview post-training training-time pass_pipeline PIL pipeline classifier post-training compression precision type prediction image input and output specify compute units with MLModel preprocessing for images, [1] preview in Xcode protobuf spec pruning overview post-training training-time PyTorch combine tracing and scripting convert from convert natural language proocessing model convert segmentation model convert torchvision model convert workflow JIT script make prediction model scripting model tracing preprocess image input quantization APIs set model metadata set names source formats Q quantization neural network overview post-training PyTorch APIs training-time R RangeDim rename a feature S save a model package scalar type for ImageType Scikit-learn shapes T TensorFlow convert from set model metadata source formats TensorFlow 1 convert DeepSpeech model convert from convert image classifier convert pre-trained model convert workflow TensorFlow 2 convert a Keras model convert BERT Transformer Models convert concrete function convert from convert pre-trained model convert sequential model convert user-defined model convert workflow TorchScript, [1] Torchscript torchvision model training-time compression typed execution U updatable nearest neighbor classifier updatable neural network classifier updatable pipeline classifier V Vision Classifier Observation API X Xcode model preview types open model preview XGBoost