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136 lines
3.3 KiB
JSON
136 lines
3.3 KiB
JSON
[
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{
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"name": "CharToken",
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"description": "Character-oriented tokenizer where text is considered a sequence of characters.",
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"attributes": [
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{
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"name": "UseMarkerChars",
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"type": "boolean"
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},
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{
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"name": "IsSeparatorStartEnd",
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"type": "boolean"
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}
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]
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},
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{
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"name": "ConcatTransform",
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"category": "Tensor",
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"description": "Concatenates one or more columns of the same item type."
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},
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{
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"name": "CopyTransform",
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"category": "Tensor",
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"description": "Duplicates columns from the dataset."
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},
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{
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"name": "ImageLoaderTransform",
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"description": "Load images from files.",
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"attributes": [
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{
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"name": "ImageFolder",
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"type": "string",
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"description": "Folder where to search for images"
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}
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]
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},
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{
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"name": "ImagePixelExtractor",
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"description": "Scales an image to specified dimensions using one of the three scale types: isotropic with padding, isotropic with cropping or anisotropic. In case of isotropic padding, transparent color is used to pad resulting image.",
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"attributes": [
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{
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"name": "ColorsToExtract",
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"type": "ImagePixelExtractingTransformer.ColorBits"
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},
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{
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"name": "OrderOfExtraction",
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"type": "ImagePixelExtractingTransformer.ColorsOrder"
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},
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{
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"name": "Planes",
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"type": "uint8"
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},
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{
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"name": "OutputAsFloatArray",
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"type": "boolean"
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},
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{
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"name": "OffsetImage",
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"type": "float32"
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},
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{
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"name": "ScaleImage",
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"type": "float32"
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},
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{
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"name": "InterleavePixelColors",
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"type": "boolean"
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}
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]
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},
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{
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"name": "ImageScalerTransform",
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"description": "Scales an image to specified dimensions using one of the three scale types: isotropic with padding, isotropic with cropping or anisotropic. In case of isotropic padding, transparent color is used to pad resulting image.",
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"attributes": [
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{
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"name": "Width"
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},
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{
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"name": "Height"
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},
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{
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"name": "Resizing",
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"type": "ImageResizingTransformer.ResizingKind"
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},
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{
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"name": "Anchor",
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"type": "ImageResizingTransformer.Anchor"
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}
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]
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},
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{
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"name": "SSAModel",
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"attributes": [
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{
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"name": "UseMarkerChars",
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"type": "boolean"
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}
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]
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},
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{
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"name": "TensorFlowTransform",
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"description": "Transforms the data using the TensorFlow model.",
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"attributes": [
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{
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"name": "IsFrozen",
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"type": "boolean"
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},
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{
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"name": "AddBatchDimensionInput",
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"type": "boolean"
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}
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]
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},
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{
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"name": "TextNormalizerTransform",
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"description": "A text normalization transform that allows normalizing text case, removing diacritical marks, punctuation marks and/or numbers. The transform operates on text input as well as vector of tokens/text (vector of ReadOnlyMemory).",
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"attributes": [
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{
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"name": "CaseMode",
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"type": "TextNormalizingTransformer.CaseMode"
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},
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{
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"name": "KeepDiacritics",
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"type": "boolean"
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},
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{
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"name": "KeepPunctuations",
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"type": "boolean"
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},
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{
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"name": "KeepNumbers",
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"type": "boolean"
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}
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]
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}
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] |