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cesnet_tszoo.utils.enums

AgreggationType

Bases: Enum

Possible aggregations for database.

Source code in cesnet_tszoo\utils\enums.py 
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class AgreggationType(Enum):
    """Possible aggregations for database. """

    AGG_1_DAY = "1_day"
    """1 day aggregation for source type. """

    AGG_1_HOUR = "1_hour"
    """1 hour aggregation for source type. """

    AGG_15_MINUTES = "15_minutes"
    """15 minutes aggregation for source type. """

    AGG_10_MINUTES = "10_minutes"
    """10 minutes aggregation for source type. """

    AGG_5_MINUTES = "5_minutes"
    """5 minutes aggregation for source type. """

    AGG_1_MINUTE = "1_minute"
    """1 minute aggregation for source type. """

    @staticmethod
    def _to_str_with_agg(aggregation_type):
        """For paths. """

        return f"agg_{aggregation_type.value}"

    @staticmethod
    def _to_str_without_number(aggregation_type) -> str:
        """For paths. """

        if aggregation_type in [AgreggationType.AGG_10_MINUTES, AgreggationType.AGG_5_MINUTES, AgreggationType.AGG_15_MINUTES]:
            return "minutes"
        elif aggregation_type == AgreggationType.AGG_1_HOUR:
            return "hour"
        elif aggregation_type == AgreggationType.AGG_1_DAY:
            return "day"
        elif aggregation_type == AgreggationType.AGG_1_MINUTE:
            return "minute"
        else:
            raise NotImplementedError()

AGG_1_DAY class-attribute instance-attribute 

AGG_1_DAY = '1_day'

1 day aggregation for source type.

AGG_1_HOUR class-attribute instance-attribute 

AGG_1_HOUR = '1_hour'

1 hour aggregation for source type.

AGG_15_MINUTES class-attribute instance-attribute 

AGG_15_MINUTES = '15_minutes'

15 minutes aggregation for source type.

AGG_10_MINUTES class-attribute instance-attribute 

AGG_10_MINUTES = '10_minutes'

10 minutes aggregation for source type.

AGG_5_MINUTES class-attribute instance-attribute 

AGG_5_MINUTES = '5_minutes'

5 minutes aggregation for source type.

AGG_1_MINUTE class-attribute instance-attribute 

AGG_1_MINUTE = '1_minute'

1 minute aggregation for source type.

SourceType

Bases: Enum

Possible source types for database.

Source code in cesnet_tszoo\utils\enums.py 
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class SourceType(Enum):
    """Possible source types for database. """

    IP_ADDRESSES_FULL = "ip_addresses_full"
    """Traffic of ip addresses of specific devices. """

    IP_ADDRESSES_SAMPLE = "ip_addresses_sample"
    """Traffic of subset from `ip_addresses_full`. """

    IP_ADDRESSES_SAMPLE_GAPS_20_00 = "ip_addresses_sample_gaps_20_00"
    """CESNET-TimeSeries26: sample of `ip_addresses_full` stratified by the gap ratio of the 10-minute windows (band [0.00, 0.20]). """

    IP_ADDRESSES_SAMPLE_GAPS_40_20 = "ip_addresses_sample_gaps_40_20"
    """CESNET-TimeSeries26: sample of `ip_addresses_full` stratified by the gap ratio of the 10-minute windows (band (0.20, 0.40]). """

    IP_ADDRESSES_SAMPLE_GAPS_60_40 = "ip_addresses_sample_gaps_60_40"
    """CESNET-TimeSeries26: sample of `ip_addresses_full` stratified by the gap ratio of the 10-minute windows (band (0.40, 0.60]). """

    IP_ADDRESSES_SAMPLE_GAPS_80_60 = "ip_addresses_sample_gaps_80_60"
    """CESNET-TimeSeries26: sample of `ip_addresses_full` stratified by the gap ratio of the 10-minute windows (band (0.60, 0.80]). """

    IP_ADDRESSES_SAMPLE_GAPS_100_80 = "ip_addresses_sample_gaps_100_80"
    """CESNET-TimeSeries26: sample of `ip_addresses_full` stratified by the gap ratio of the 10-minute windows (band (0.80, 1.00]). """

    SUBNET_LONGITUDINAL = "subnet_longitudinal"
    """CESNET-TimeSeries26: IP addresses of one institution subnet monitored 2021-12-31 - 2026-07-09 (own time grid, TCP-only volumetrics, reduced metric set). """

    INSTITUTION_SUBNETS = "institution_subnets"
    """Traffic of subnets in institutions`. """

    INSTITUTIONS = "institutions"
    """Traffic Institutions of CESNET3 network. """

    NETWORK_OPERATOR = "network_operator"
    """Data from the operator of the network. """

    MININET_SIMULATOR = "mininet_simulator"
    """Created via Mininet simulator. """

    BACKBONE_NETWORK = "backbone_network"
    """Traffic from backbone network. """

    SERVICE_PROVIDER = "service_provider"
    """Data from the service provider. """

    CESNET2 = "CESNET2"
    """Traffic of CESNET2 network. """

IP_ADDRESSES_FULL class-attribute instance-attribute 

IP_ADDRESSES_FULL = 'ip_addresses_full'

Traffic of ip addresses of specific devices.

IP_ADDRESSES_SAMPLE class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE = 'ip_addresses_sample'

Traffic of subset from ip_addresses_full.

IP_ADDRESSES_SAMPLE_GAPS_20_00 class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE_GAPS_20_00 = 'ip_addresses_sample_gaps_20_00'

CESNET-TimeSeries26: sample of ip_addresses_full stratified by the gap ratio of the 10-minute windows (band [0.00, 0.20]).

IP_ADDRESSES_SAMPLE_GAPS_40_20 class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE_GAPS_40_20 = 'ip_addresses_sample_gaps_40_20'

CESNET-TimeSeries26: sample of ip_addresses_full stratified by the gap ratio of the 10-minute windows (band (0.20, 0.40]).

IP_ADDRESSES_SAMPLE_GAPS_60_40 class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE_GAPS_60_40 = 'ip_addresses_sample_gaps_60_40'

CESNET-TimeSeries26: sample of ip_addresses_full stratified by the gap ratio of the 10-minute windows (band (0.40, 0.60]).

IP_ADDRESSES_SAMPLE_GAPS_80_60 class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE_GAPS_80_60 = 'ip_addresses_sample_gaps_80_60'

CESNET-TimeSeries26: sample of ip_addresses_full stratified by the gap ratio of the 10-minute windows (band (0.60, 0.80]).

IP_ADDRESSES_SAMPLE_GAPS_100_80 class-attribute instance-attribute 

IP_ADDRESSES_SAMPLE_GAPS_100_80 = 'ip_addresses_sample_gaps_100_80'

CESNET-TimeSeries26: sample of ip_addresses_full stratified by the gap ratio of the 10-minute windows (band (0.80, 1.00]).

SUBNET_LONGITUDINAL class-attribute instance-attribute 

SUBNET_LONGITUDINAL = 'subnet_longitudinal'

CESNET-TimeSeries26: IP addresses of one institution subnet monitored 2021-12-31 - 2026-07-09 (own time grid, TCP-only volumetrics, reduced metric set).

INSTITUTION_SUBNETS class-attribute instance-attribute 

INSTITUTION_SUBNETS = 'institution_subnets'

Traffic of subnets in institutions`.

INSTITUTIONS class-attribute instance-attribute 

INSTITUTIONS = 'institutions'

Traffic Institutions of CESNET3 network.

NETWORK_OPERATOR class-attribute instance-attribute 

NETWORK_OPERATOR = 'network_operator'

Data from the operator of the network.

MININET_SIMULATOR class-attribute instance-attribute 

MININET_SIMULATOR = 'mininet_simulator'

Created via Mininet simulator.

BACKBONE_NETWORK class-attribute instance-attribute 

BACKBONE_NETWORK = 'backbone_network'

Traffic from backbone network.

SERVICE_PROVIDER class-attribute instance-attribute 

SERVICE_PROVIDER = 'service_provider'

Data from the service provider.

CESNET2 class-attribute instance-attribute 

CESNET2 = 'CESNET2'

Traffic of CESNET2 network.

FillerType

Bases: Enum

Built-in filler types.

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class FillerType(Enum):
    """Built-in filler types. """

    MEAN_FILLER = "mean_filler"
    """Represents filler [`MeanFiller`](reference_fillers.md#cesnet_tszoo.utils.filler.filler.MeanFiller). Equivalent to literal `mean_filler`. """

    FORWARD_FILLER = "forward_filler"
    """Represents filler [`ForwardFiller`](reference_fillers.md#cesnet_tszoo.utils.filler.filler.ForwardFiller). Equivalent to literal `forward_filler`. """

    LINEAR_INTERPOLATION_FILLER = "linear_interpolation_filler"
    """Represents filler [`LinearInterpolationFiller`](reference_fillers.md#cesnet_tszoo.utils.filler.filler.LinearInterpolationFiller). Equivalent to literal `linear_interpolation_filler`. """

    NO_FILLER = "no_filler"
    """Represents filler [`NoFiller`](reference_fillers.md#cesnet_tszoo.utils.filler.filler.LinearInterpolationFiller). Equivalent to literal `no_filler`. """

MEAN_FILLER class-attribute instance-attribute 

MEAN_FILLER = 'mean_filler'

Represents filler MeanFiller. Equivalent to literal mean_filler.

FORWARD_FILLER class-attribute instance-attribute 

FORWARD_FILLER = 'forward_filler'

Represents filler ForwardFiller. Equivalent to literal forward_filler.

LINEAR_INTERPOLATION_FILLER class-attribute instance-attribute 

LINEAR_INTERPOLATION_FILLER = 'linear_interpolation_filler'

Represents filler LinearInterpolationFiller. Equivalent to literal linear_interpolation_filler.

NO_FILLER class-attribute instance-attribute 

NO_FILLER = 'no_filler'

Represents filler NoFiller. Equivalent to literal no_filler.

TransformerType

Bases: Enum

Built-in transformer types.

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class TransformerType(Enum):
    """Built-in transformer types. """

    MIN_MAX_SCALER = "min_max_scaler"
    """Represents transformer [`MinMaxScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.MinMaxScaler). Equivalent to literal `min_max_scaler`. """

    STANDARD_SCALER = "standard_scaler"
    """Represents transformer [`StandardScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.StandardScaler). Equivalent to literal `standard_scaler`. """

    MAX_ABS_SCALER = "max_abs_scaler"
    """Represents transformer [`MaxAbsScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.MaxAbsScaler). Equivalent to literal `max_abs_scaler`. """

    LOG_TRANSFORMER = "log_transformer"
    """Represents transformer [`LogTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.LogTransformer). Equivalent to literal `log_transformer`. """

    L2_NORMALIZER = "l2_normalizer"
    """Represents transformer [`L2Normalizer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.L2Normalizer). Equivalent to literal `l2_normalizer`. """

    ROBUST_SCALER = "robust_scaler"
    """Represents transformer [`RobustScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.LogTransformer). Equivalent to literal `robust_scaler`. """

    POWER_TRANSFORMER = "power_transformer"
    """Represents transformer [`PowerTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.PowerTransformer). Equivalent to literal `power_transformer`. """

    QUANTILE_TRANSFORMER = "quantile_transformer"
    """Represents transformer [`QuantileTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.QuantileTransformer). Equivalent to literal `quantile_transformer`. """

    NO_TRANSFORMER = "no_transformer"
    """Represents transformer [`NoTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.NoTransformer). Equivalent to literal `no_transformer`. """

MIN_MAX_SCALER class-attribute instance-attribute 

MIN_MAX_SCALER = 'min_max_scaler'

Represents transformer MinMaxScaler. Equivalent to literal min_max_scaler.

STANDARD_SCALER class-attribute instance-attribute 

STANDARD_SCALER = 'standard_scaler'

Represents transformer StandardScaler. Equivalent to literal standard_scaler.

MAX_ABS_SCALER class-attribute instance-attribute 

MAX_ABS_SCALER = 'max_abs_scaler'

Represents transformer MaxAbsScaler. Equivalent to literal max_abs_scaler.

LOG_TRANSFORMER class-attribute instance-attribute 

LOG_TRANSFORMER = 'log_transformer'

Represents transformer LogTransformer. Equivalent to literal log_transformer.

L2_NORMALIZER class-attribute instance-attribute 

L2_NORMALIZER = 'l2_normalizer'

Represents transformer L2Normalizer. Equivalent to literal l2_normalizer.

ROBUST_SCALER class-attribute instance-attribute 

ROBUST_SCALER = 'robust_scaler'

Represents transformer RobustScaler. Equivalent to literal robust_scaler.

POWER_TRANSFORMER class-attribute instance-attribute 

POWER_TRANSFORMER = 'power_transformer'

Represents transformer PowerTransformer. Equivalent to literal power_transformer.

QUANTILE_TRANSFORMER class-attribute instance-attribute 

QUANTILE_TRANSFORMER = 'quantile_transformer'

Represents transformer QuantileTransformer. Equivalent to literal quantile_transformer.

NO_TRANSFORMER class-attribute instance-attribute 

NO_TRANSFORMER = 'no_transformer'

Represents transformer NoTransformer. Equivalent to literal no_transformer.

AnomalyHandlerType

Bases: Enum

Built-in anomaly handler types.

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class AnomalyHandlerType(Enum):
    """Built-in anomaly handler types. """

    Z_SCORE = "z-score"
    """Represents anomaly handler [`ZScore`](reference_anomaly_handlers.md#cesnet_tszoo.utils.anomaly_handler.anomaly_handler.ZScore). Equivalent to literal `z-score`. """

    INTERQUARTILE_RANGE = "interquartile_range"
    """Represents anomaly handler [`InterquartileRange`](reference_anomaly_handlers.md#cesnet_tszoo.utils.anomaly_handler.anomaly_handler.InterquartileRange). Equivalent to literal `interquartile_range`. """

    NO_ANOMALY_HANDLER = "no_anomaly_handler"
    """Represents anomaly handler [`NoAnomalyHandler`](reference_anomaly_handlers.md#cesnet_tszoo.utils.anomaly_handler.anomaly_handler.NoAnomalyHandler). Equivalent to literal `no_anomaly_handler`. """

Z_SCORE class-attribute instance-attribute 

Z_SCORE = 'z-score'

Represents anomaly handler ZScore. Equivalent to literal z-score.

INTERQUARTILE_RANGE class-attribute instance-attribute 

INTERQUARTILE_RANGE = 'interquartile_range'

Represents anomaly handler InterquartileRange. Equivalent to literal interquartile_range.

NO_ANOMALY_HANDLER class-attribute instance-attribute 

NO_ANOMALY_HANDLER = 'no_anomaly_handler'

Represents anomaly handler NoAnomalyHandler. Equivalent to literal no_anomaly_handler.

TimeFormat

Bases: Enum

Different supported time formats.

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class TimeFormat(Enum):
    """Different supported time formats. """

    ID_TIME = "id_time"
    """Time as indices, starting from 0. """

    DATETIME = "datetime"
    """Time as [`datetime`](https://docs.python.org/3/library/datetime.html) object. """

    UNIX_TIME = "unix_time"
    """Time in unix time format. """

    SHIFTED_UNIX_TIME = "shifted_unix_time"
    """Unix time format but offsetted so it starts from 0. """

ID_TIME class-attribute instance-attribute 

ID_TIME = 'id_time'

Time as indices, starting from 0.

DATETIME class-attribute instance-attribute 

DATETIME = 'datetime'

Time as datetime object.

UNIX_TIME class-attribute instance-attribute 

UNIX_TIME = 'unix_time'

Time in unix time format.

SHIFTED_UNIX_TIME class-attribute instance-attribute 

SHIFTED_UNIX_TIME = 'shifted_unix_time'

Unix time format but offsetted so it starts from 0.

SplitType

Bases: Enum

Different split variants.

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class SplitType(Enum):
    """Different split variants. """

    TRAIN = "train"
    """Represents training set of dataset. """

    VAL = "val"
    """Represents validation set of dataset. """

    TEST = "test"
    """Represents test set of dataset. """

    ALL = "all"
    """Represents train/val/test sets as one or just everything. """

TRAIN class-attribute instance-attribute 

TRAIN = 'train'

Represents training set of dataset.

VAL class-attribute instance-attribute 

VAL = 'val'

Represents validation set of dataset.

TEST class-attribute instance-attribute 

TEST = 'test'

Represents test set of dataset.

ALL class-attribute instance-attribute 

ALL = 'all'

Represents train/val/test sets as one or just everything.

AnnotationType

Bases: Enum

Categories of Annotations.

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class AnnotationType(Enum):
    """Categories of Annotations. """

    ID_TIME = "id_time"
    """Represents annotations for time. """

    TS_ID = "ts_id"
    """Represents annotations for time series. """

    BOTH = "both"
    """Represents annotations for time in time series. """

ID_TIME class-attribute instance-attribute 

ID_TIME = 'id_time'

Represents annotations for time.

TS_ID class-attribute instance-attribute 

TS_ID = 'ts_id'

Represents annotations for time series.

BOTH class-attribute instance-attribute 

BOTH = 'both'

Represents annotations for time in time series.

DataloaderOrder

Bases: Enum

Order for loading data with PyTorch DataLoader.

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class DataloaderOrder(Enum):
    """Order for loading data with PyTorch [`DataLoader`](https://pytorch.org/docs/stable/data.html#torch.utils.data.DataLoader). """

    RANDOM = "random"
    """Loaded data will be randomly selected. """

    SEQUENTIAL = "sequential"
    """Loaded data will be in the selected order. """

RANDOM class-attribute instance-attribute 

RANDOM = 'random'

Loaded data will be randomly selected.

SEQUENTIAL class-attribute instance-attribute 

SEQUENTIAL = 'sequential'

Loaded data will be in the selected order.

DatasetType

Bases: Enum

Types of datasets.

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class DatasetType(Enum):
    """Types of datasets. """

    TIME_BASED = "time_based"
    """This type of dataset is defined by train/val/test time periods and one time series set. """

    SERIES_BASED = "series_based"
    """This type of dataset is defined by train/val/test time series sets and one time period set. """

    DISJOINT_TIME_BASED = "disjoint_time_based"
    """This type of dataset is defined by train/val/test time series sets and their respective time period sets. """

TIME_BASED class-attribute instance-attribute 

TIME_BASED = 'time_based'

This type of dataset is defined by train/val/test time periods and one time series set.

SERIES_BASED class-attribute instance-attribute 

SERIES_BASED = 'series_based'

This type of dataset is defined by train/val/test time series sets and one time period set.

DISJOINT_TIME_BASED class-attribute instance-attribute 

DISJOINT_TIME_BASED = 'disjoint_time_based'

This type of dataset is defined by train/val/test time series sets and their respective time period sets.

PreprocessType

Bases: Enum

Helper enum to decide which preprocess it is.

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class PreprocessType(Enum):
    """Helper enum to decide which preprocess it is. """

    FILLING_GAPS = "filling_gaps"
    """Represents default_values and Filler preprocess. """

    TRANSFORMING = "transforming"
    """Represents Transformer preprocess. """

    HANDLING_ANOMALIES = "handling_anomalies"
    """Represents AnomalyHandler preprocess. """

    PER_SERIES_CUSTOM = "per_series_custom"
    """Represents PerSeriesCustomHandler preprocess """

    ALL_SERIES_CUSTOM = "all_series_custom"
    """Represents AllSeriesCustomHandler preprocess """

    NO_FIT_CUSTOM = "no_fit_custom"
    """Represents NoFitCustomHandler preprocess """

FILLING_GAPS class-attribute instance-attribute 

FILLING_GAPS = 'filling_gaps'

Represents default_values and Filler preprocess.

TRANSFORMING class-attribute instance-attribute 

TRANSFORMING = 'transforming'

Represents Transformer preprocess.

HANDLING_ANOMALIES class-attribute instance-attribute 

HANDLING_ANOMALIES = 'handling_anomalies'

Represents AnomalyHandler preprocess.

PER_SERIES_CUSTOM class-attribute instance-attribute 

PER_SERIES_CUSTOM = 'per_series_custom'

Represents PerSeriesCustomHandler preprocess

ALL_SERIES_CUSTOM class-attribute instance-attribute 

ALL_SERIES_CUSTOM = 'all_series_custom'

Represents AllSeriesCustomHandler preprocess

NO_FIT_CUSTOM class-attribute instance-attribute 

NO_FIT_CUSTOM = 'no_fit_custom'

Represents NoFitCustomHandler preprocess

ScalerType

Bases: Enum

Obsolete, dont use. Only for backward compatibility.

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class ScalerType(Enum):
    """Obsolete, dont use. Only for backward compatibility. """

    MIN_MAX_SCALER = "min_max_scaler"
    """Represents transformer [`MinMaxScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.MinMaxScaler). Equivalent to literal `min_max_scaler`. """

    STANDARD_SCALER = "standard_scaler"
    """Represents transformer [`StandardScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.StandardScaler). Equivalent to literal `standard_scaler`. """

    MAX_ABS_SCALER = "max_abs_scaler"
    """Represents transformer [`MaxAbsScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.MaxAbsScaler). Equivalent to literal `max_abs_scaler`. """

    LOG_TRANSFORMER = "log_transformer"
    """Represents transformer [`LogTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.LogTransformer). Equivalent to literal `log_transformer`. """

    L2_NORMALIZER = "l2_normalizer"
    """Represents transformer [`L2Normalizer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.L2Normalizer). Equivalent to literal `l2_normalizer`. """

    ROBUST_SCALER = "robust_scaler"
    """Represents transformer [`RobustScaler`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.LogTransformer). Equivalent to literal `robust_scaler`. """

    POWER_TRANSFORMER = "power_transformer"
    """Represents transformer [`PowerTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.PowerTransformer). Equivalent to literal `power_transformer`. """

    QUANTILE_TRANSFORMER = "quantile_transformer"
    """Represents transformer [`QuantileTransformer`](reference_transformers.md#cesnet_tszoo.utils.transformer.transformer.QuantileTransformer). Equivalent to literal `quantile_transformer`. """

MIN_MAX_SCALER class-attribute instance-attribute 

MIN_MAX_SCALER = 'min_max_scaler'

Represents transformer MinMaxScaler. Equivalent to literal min_max_scaler.

STANDARD_SCALER class-attribute instance-attribute 

STANDARD_SCALER = 'standard_scaler'

Represents transformer StandardScaler. Equivalent to literal standard_scaler.

MAX_ABS_SCALER class-attribute instance-attribute 

MAX_ABS_SCALER = 'max_abs_scaler'

Represents transformer MaxAbsScaler. Equivalent to literal max_abs_scaler.

LOG_TRANSFORMER class-attribute instance-attribute 

LOG_TRANSFORMER = 'log_transformer'

Represents transformer LogTransformer. Equivalent to literal log_transformer.

L2_NORMALIZER class-attribute instance-attribute 

L2_NORMALIZER = 'l2_normalizer'

Represents transformer L2Normalizer. Equivalent to literal l2_normalizer.

ROBUST_SCALER class-attribute instance-attribute 

ROBUST_SCALER = 'robust_scaler'

Represents transformer RobustScaler. Equivalent to literal robust_scaler.

POWER_TRANSFORMER class-attribute instance-attribute 

POWER_TRANSFORMER = 'power_transformer'

Represents transformer PowerTransformer. Equivalent to literal power_transformer.

QUANTILE_TRANSFORMER class-attribute instance-attribute 

QUANTILE_TRANSFORMER = 'quantile_transformer'

Represents transformer QuantileTransformer. Equivalent to literal quantile_transformer.

DownloadSource

Bases: Enum

Where the dataset files are downloaded from (download_source of get_dataset).

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class DownloadSource(Enum):
    """Where the dataset files are downloaded from (`download_source` of `get_dataset`)."""

    AUTO = "auto"
    """Try every configured source in the default order (DataZoo bucket and mirrors), moving on when one fails."""

    DATAZOO = "datazoo"
    """CESNET DataZoo bucket only."""

    GOOGLE_DRIVE = "google_drive"
    """Google Drive mirrors only (primary and backup folder)."""

    ZENODO = "zenodo"
    """Zenodo records only."""

AUTO class-attribute instance-attribute 

AUTO = 'auto'

Try every configured source in the default order (DataZoo bucket and mirrors), moving on when one fails.

DATAZOO class-attribute instance-attribute 

DATAZOO = 'datazoo'

CESNET DataZoo bucket only.

GOOGLE_DRIVE class-attribute instance-attribute 

GOOGLE_DRIVE = 'google_drive'

Google Drive mirrors only (primary and backup folder).

ZENODO class-attribute instance-attribute 

ZENODO = 'zenodo'

Zenodo records only.