examples/model_selection/Trails/internal/ml/model_selection/src/common/constant.py

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class CommonVars:

    # SAMPLER
    TEST_SAMPLER = "sequence"
    RANDOM_SAMPLER = "random"
    RL_SAMPLER = "rl"
    EA_SAMPLER = "ea"
    BOHB_SAMPLER = "bohb"

    # EVALUATOR
    ExpressFlow = "express_flow"

    GRAD_NORM = "grad_norm"
    GRAD_PLAIN = "grad_plain"

    JACOB_CONV = "jacob_conv"
    NAS_WOT = "nas_wot"

    NTK_CONDNUM = "ntk_cond_num"
    NTK_TRACE = "ntk_trace"
    NTK_TRACE_APPROX = "ntk_trace_approx"

    PRUNE_FISHER = "fisher"
    PRUNE_GRASP = "grasp"
    PRUNE_SNIP = "snip"
    PRUNE_SYNFLOW = "synflow"

    WEIGHT_NORM = "weight_norm"
    KNAS = "knas"

    JACFLOW = "jacflow"

    ALL_EVALUATOR = "all_matrix"

    # SEARCH SPACE
    NASBENCH101 = "nas-bench-101"
    NASBENCH201 = "nas-bench-201"

    # correlation coefficient metrics
    KendallTau = "KendallTau"
    Spearman = "Spearman"
    Pearson = "Pearson"
    AvgCorrelation = "average_correlation"
    AllCorrelation = "all_correlation"


class Config:

    MLPSP = "mlp_sp"
    NB101 = "nasbench101"
    NB201 = "nasbench201"
    DARTS = "darts"
    NDS = "NDS"

    # vision dataset
    c10_valid = "cifar10-valid"
    c10 = "cifar10"
    c100 = "cifar100"
    imgNet = "ImageNet16-120"
    imgNetFull = "ImageNet1k"

    # struct dataset
    Frappe = "frappe"
    Criteo = "criteo"
    UCIDataset = "uci_diabetes"

    SUCCHALF = "SUCCHALF"
    SUCCREJCT = "SUCCREJCT"
    UNIFORM = "UNIFORM"