# NOTE: This code has been modified from AWS Sagemaker Python:
# https://github.com/awslabs/sagemaker-debugger-rulesconfig/blob/master/smdebug_rulesconfig/debugger_rules/_ruleGroups.py
# set of rules that are expected to work for all supported frameworks
# Supported Frameworks: Mxnet, Pytorch, Tensorflow, Xgboost
UNIVERSAL_RULES = c(
"AllZero",
"ClassImbalance",
"Confusion",
"LossNotDecreasing",
"Overfit",
"Overtraining",
"SimilarAcrossRuns",
"StalledTrainingRule",
"UnchangedTensor"
)
# set of rules that are expected to work for only for supported deep learning frameworks
# Supported Deep Learning Frameworks: Mxnet, Pytorch, Tensorflow
DEEP_LEARNING_RULES = c(
"DeadRelu",
"ExplodingTensor",
"PoorWeightInitialization",
"SaturatedActivation",
"TensorVariance",
"VanishingGradient",
"WeightUpdateRatio"
)
# Rules intended to be used as part of a DL Application
DEEP_LEARNING_APPLICATION_RULES = c("CheckInputImages", "NLPSequenceRatio")
# Rules only compatible with XGBOOST
XGBOOST_RULES = c("FeatureImportanceOverweight", "TreeDepth")
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