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ArtifactType

Defines different types of artifacts Module: ml._autogen.client Enum for artifact types This enum is defined in the codebase but specific values are not available in the documentation.

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DataSlice

Module: ml.enums Available Values:
  • TRAIN = train
  • VALIDATE = validate
  • TEST = test
  • PREDICTION = prediction

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FileFormat

Module: ml.enums Available Values:
  • CSV = csv
  • PARQUET = parquet

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Format

Module: ml.plot Available Values:
  • SVG = SVG
  • HTML = HTML
  • PNG = PNG

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Group

Module: ml.types Available Values:
  • ACTUALS = actuals
  • PREDICTIONS = predictions

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ModelFramework

Module: ml.enums Available Values:
  • SKLEARN = sklearn
  • TENSORFLOW = tensorflow
  • PYTORCH = pytorch
  • KERAS = keras
  • XGBOOST = xgboost
  • LIGHTGBM = lightgbm
  • FASTAI = fastai
  • H2O = h2o
  • ONNX = onnx
  • SPACY = spacy
  • STATSMODELS = statsmodels
  • GLUON = gluon
  • PADDLE = paddle
  • TRANSFORMERS = transformers
  • UNKNOWN = unknown

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ModelType

Module: ml.enums Available Values:
  • BINARY_CLASSIFICATION = binary_classification
  • MULTICLASS_CLASSIFICATION = multiclass_classification
  • REGRESSION = regression
  • TIMESERIES = timeseries

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RunStatus

Module: ml.enums Available Values:
  • RUNNING = RUNNING
  • SCHEDULED = SCHEDULED
  • FINISHED = FINISHED
  • FAILED = FAILED
  • KILLED = KILLED

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ViewType

Module: ml.enums Available Values:
  • ACTIVE_ONLY = ACTIVE_ONLY
  • DELETED_ONLY = DELETED_ONLY
  • HARD_DELETED_ONLY = HARD_DELETED_ONLY
  • ALL = ALL
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