mlnet-metadata.json

[
  {
    "name": "CharToken",
    "description": "Character-oriented tokenizer where text is considered a sequence of characters.",
    "attributes": [
      {
        "name": "UseMarkerChars",
        "type": "boolean"
      },
      {
        "name": "IsSeparatorStartEnd",
        "type": "boolean"
      }
    ]
  },
  {
    "name": "ConcatTransform",
    "category": "Tensor",
    "description": "Concatenates one or more columns of the same item type."
  },
  {
    "name": "CopyTransform",
    "category": "Tensor",
    "description": "Duplicates columns from the dataset."
  },
  {
    "name": "ImageLoaderTransform",
    "description": "Load images from files.",
    "attributes": [
      {
        "name": "ImageFolder",
        "type": "string",
        "description": "Folder where to search for images"
      }
    ]
  },
  {
    "name": "ImagePixelExtractor",
    "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.",
    "attributes": [
      {
        "name": "ColorsToExtract",
        "type": "ImagePixelExtractingTransformer.ColorBits"
      },
      {
        "name": "OrderOfExtraction",
        "type": "ImagePixelExtractingTransformer.ColorsOrder"
      },
      {
        "name": "Planes",
        "type": "uint8"
      },
      {
        "name": "OutputAsFloatArray",
        "type": "boolean"
      },
      {
        "name": "OffsetImage",
        "type": "float32"
      },
      {
        "name": "ScaleImage",
        "type": "float32"
      },
      {
        "name": "InterleavePixelColors",
        "type": "boolean"
      }
    ]
  },
  {
    "name": "ImageScalerTransform",
    "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.",
    "attributes": [
      {
        "name": "Width"
      },
      {
        "name": "Height"
      },
      {
        "name": "Resizing",
        "type": "ImageResizingTransformer.ResizingKind"
      },
      {
        "name": "Anchor",
        "type": "ImageResizingTransformer.Anchor"
      }
    ]
  },
  {
    "name": "SSAModel",
    "attributes": [
      {
        "name": "UseMarkerChars",
        "type": "boolean"
      }
    ]
  },
  {
    "name": "TensorFlowTransform",
    "description": "Transforms the data using the TensorFlow model.",
    "attributes": [
      {
        "name": "IsFrozen",
        "type": "boolean"
      },
      {
        "name": "AddBatchDimensionInput",
        "type": "boolean"
      }
    ]
  },
  {
    "name": "TextNormalizerTransform",
    "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).",
    "attributes": [
      {
        "name": "CaseMode",
        "type": "TextNormalizingTransformer.CaseMode"
      },
      {
        "name": "KeepDiacritics",
        "type": "boolean"
      },
      {
        "name": "KeepPunctuations",
        "type": "boolean"
      },
      {
        "name": "KeepNumbers",
        "type": "boolean"
      }
    ]
  }
]