Functions — github.com/GestaltCogTeam/BasicTS

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Functions713 in github.com/GestaltCogTeam/BasicTS

⨍ Functions 713◇ Types & classes 201↳ Endpoints 1

Methodpreprocess

Run the task flow

src/basicts/runners/taskflow/forecasting_taskflow.py:16

Methodprint_meters

Print the specified type of meters. Args: meter_type (str): meter type logger (logging.Logger): logger

src/basicts/utils/meter_pool.py:64

Functionremove_nan_inf

Remove NaN and Inf values from a tensor by replacing them with zeros. Args: tensor (torch.Tensor): Input tensor. Returns:

src/basicts/utils/misc.py:56

src/basicts/metrics/metric_meter.py:10

src/basicts/metrics/metric_meter.py:51

Methodserialized

src/basicts/configs/base_config.py:165

Functiontraining_func

(cfg: BasicTSConfig)

src/basicts/launcher.py:102

Methodtransform

Apply Z-score normalization to the input data. This method normalizes the input data using the mean and standard deviation computed

src/basicts/scaler/z_score_scaler.py:75

Methodtransform

Apply min-max normalization to the input data. This method normalizes the input data using the minimum and maximum values computed f

src/basicts/scaler/min_max_scaler.py:69

Update sum and count. Args: value (float): value. n (int): number.

src/basicts/metrics/metric_meter.py:18

Update sum and count. Args: value (float): value. n (int): number.

src/basicts/metrics/metric_meter.py:58

Get average value. Returns: avg (float)

src/basicts/metrics/metric_meter.py:31

Get average value. Returns: avg (float)

src/basicts/metrics/metric_meter.py:70

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