_InternalNamespace
Module: ml.internal_namespace
_ModelFramework
Module: ml.model_framework
__root__
ModelFrameworkType
required
Module: ml.model_framework
ActiveRuns
Module: ml.session
AppName
Custom ParamType to validate application names
Module: ml.utils
Custom ParamType to validate application names.
Union, One Of:
ArtifactIdentifier
Module: ml.truefoundry_artifact_repo
ArtifactPath
Module: ml.artifact
ArtifactVersion
Module: ml.artifact
Get the name of the artifact
Get version information of the artifact
Get fqn of the current artifact version
Get the step in which artifact was created
Get description of the artifact
Get metadata for the current artifact
Get version alias for the current artifact version
created_at
Optional[datetime.datetime]
required
Get the time at which artifact was created
updated_at
Optional[datetime.datetime]
required
Get the information about when the artifact was updated
ArtifactVersionDownloadInfo
Module: ml.artifact
Module: ml.artifact
BlobStorageDirectory
Module: ml.artifact
BoundingBox
Module: ml.types
BoundingBoxGroups
Module: ml.types
__root__
Dict[Group, List[BoundingBox]]
required
ClassGroups
Module: ml.types
__root__
Dict[Group, List[NonEmptyStr]]
required
Config
Module: ml.types
DataDirectory
Module: ml.dataset
Get the name of the DataDirectory
Get fqn of the DataDirectory
Get storage_root of the DataDirectory
Get description of the DataDirectory
Get metadata for the current DataDirectory
created_at
datetime.datetime
required
Get the time at which DataDirectory was created
updated_at
datetime.datetime
required
Get the information about when the DataDirectory was updated
DataDirectoryPath
Module: ml.dataset
EnumMissingMixin
Module: ml.enums
FastAIFramework
FastAI model Framework
Module: ml.model_framework
FastAI model Framework
type
Literal[Any]
default:"fastai"
required
FileInfo
Module: ml.entities
GitInfo
Module: ml.git_info
GluonFramework
Gluon model Framework
Module: ml.model_framework
Gluon model Framework
type
Literal[Any]
default:"gluon"
required
H2OFramework
H2O model Framework
Module: ml.model_framework
H2O model Framework
type
Literal[Any]
default:"h2o"
required
Image
Module: ml.image
class_groups
Optional[ClassGroups]
required
bbox_groups
Optional[BoundingBoxGroups]
required
ImageRunLogType
Module: ml.image
Module: ml.image
InferMethodName
Name of the inference method for model serving
Module: ml._autogen.client.models
Inference method name
Iterator
An iterator that yields items one at a time
Module: typing
Iterator type for collections
KerasFramework
Keras model Framework
Module: ml.model_framework
Keras model Framework
type
Literal[Any]
default:"keras"
required
LibraryName
Name of a library dependency
Module: ml._autogen.entities.artifacts
Library name for dependencies
LightGBMFramework
LightGBM model Framework
Module: ml.model_framework
LightGBM model Framework
type
Literal[Any]
default:"lightgbm"
required
Metric
Module: ml.entities
value
Optional[Union[StrictFloat, StrictInt]]
MlFoundry
MlFoundry
Module: ml.mlfoundry_api
MlFoundry.
MlFoundryArtifactsRepository
Module: ml.truefoundry_artifact_repo
MlFoundryException
Module: ml.exceptions
Union, One Of:
MlFoundryRun
MlFoundryRun
Module: ml.mlfoundry_run
MlFoundryRun.
Get run_id for the current run
Get run_name for the current run
Get fqn for the current run
Get ml_repo name of which the current run
is part of
Tells whether automatic end for run
is True or False
Get Mlfoundry dashboard link for a run
MLFoundryServerApiClient
Module: ml.session
MLFoundrySession
Module: ml.session
Union, One Of:
MLRepo
A repository for ML training runs and versioned entities
Module: ml._autogen.entities.artifacts
MLRepo is a repository ML training runs that log params, metrics, plots, images and versioned entities like artifacts, models, prompts, tools, agents
ModelFrameworkType
Base class for all model framework implementations
Module: ml.model_framework
Base class for model framework types
ModelVersion
Module: ml.model
Get the name of the model
Get version information of the model
Get fqn of the current model version
Get the step in which model was created
Get description of the model
Get metadata for the current model
Get version alias for the current model version
environment
Optional[ModelVersionEnvironment]
required
Get the framework of the model
created_at
Optional[datetime.datetime]
required
Get the time at which model version was created
updated_at
Optional[datetime.datetime]
required
Get the information about when the model version was updated
ModelVersionDownloadInfo
Module: ml.model
model_framework
ModelFramework
default:"ModelFramework.UNKNOWN"
required
ModelVersionEnvironment
Environment configuration for model deployment
Module: ml._autogen.client.models
Environment for model version
Module: ml.model
framework
ModelFramework
default:"ModelFramework.UNKNOWN"
required
transformers_pipeline_task
NonEmptyString
Module: ml.utils
Union, One Of:
NumpyEncoder
Special json encoder for numpy types
Module: ml.run_utils
Special json encoder for numpy types
Union, One Of:
ONNXFramework
ONNX model Framework
Module: ml.model_framework
ONNX model Framework
type
Literal[Any]
default:"onnx"
required
PaddleFramework
Paddle model Framework
Module: ml.model_framework
Paddle model Framework
type
Literal[Any]
default:"paddle"
required
Plot
Module: ml.plot
PlotArtifact
Module: ml.plot
PlotRunLogType
Module: ml.plot
Module: ml.plot
Position
Module: ml.types
PydanticBase
Module: ml.pydantic_base
Union, One Of:
PyTorchFramework
PyTorch model Framework
Module: ml.model_framework
PyTorch model Framework
type
Literal[Any]
default:"pytorch"
required
SklearnFramework
Sklearn model Framework
Module: ml.model_framework
Sklearn model Framework
type
Literal[Any]
default:"sklearn"
required
SklearnModelSchema
Schema definition for scikit-learn model serialization
Module: ml._autogen.client.models
Schema for scikit-learn models
SpaCyFramework
SpaCy model Framework
Module: ml.model_framework
SpaCy model Framework
type
Literal[Any]
default:"spacy"
required
StatsModelsFramework
StatsModels model Framework
Module: ml.model_framework
StatsModels model Framework
type
Literal[Any]
default:"statsmodels"
required
TensorFlowFramework
TensorFlow model Framework
Module: ml.model_framework
TensorFlow model Framework
type
Literal[Any]
default:"tensorflow"
required
Transformers model Framework
Module: ml.model_framework
Transformers model Framework
type
Literal[Any]
default:"transformers"
required
XGBoostFramework
XGBoost model Framework
Module: ml.model_framework
XGBoost model Framework
type
Literal[Any]
default:"xgboost"
required
XGBoostModelSchema
Schema definition for XGBoost model serialization
Module: ml._autogen.client.models
Schema for XGBoost models