`tsgm.utils.data_processing`¶

Module Contents¶

class TSGlobalScaler[source]¶

Scales time series data globally.

Attributes:¶

minfloat: Minimum value encountered in the data.
maxfloat: Maximum value encountered in the data.

fit(X: tensorflow.python.types.core.TensorLike) → TSGlobalScaler[source]¶

Fits the scaler to the data.

Parameters:: X (TensorLike) – Input data.
Returns:: The fitted scaler object.
Return type:: TSGlobalScaler

transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Transforms the data.

Parameters:: X (TensorLike) – Input data.
Returns:: Scaled X.
Return type:: TensorLike

inverse_transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Inverse-transforms the data.

Parameters:: X (TensorLike) – Input data.
Returns:: Original data.
Return type:: TensorLike

fit_transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Fits the scaler to the data and transforms it.

Parameters:: X (TensorLike) – Input data
Returns:: Scaled input data X
Return type:: TensorLike

class TSFeatureWiseScaler(feature_range: Tuple[float, float] = (0, 1))[source]¶

Scales time series data feature-wise.

Parameters:¶

feature_rangetuple(float, float), optional: Tuple representing the minimum and maximum feature values (default is (0, 1)).

Attributes:¶

_min_vfloat: Minimum feature value.
_max_vfloat: Maximum feature value.

Initializes a new instance of the TSFeatureWiseScaler class.

parameter feature_range:: Tuple representing the minimum and maximum feature values, defaults to (0, 1)
type tuple(float, float), optional:

fit(X: tensorflow.python.types.core.TensorLike) → TSFeatureWiseScaler[source]¶

Fits the scaler to the data.

Parameters:: X (TensorLike) – Input data.
Returns:: The fitted scaler object.
Return type:: TSGlobalScaler

transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Transforms the data.

Parameters:: X (TensorLike) – Input data.
Returns:: Scaled X.
Return type:: TensorLike

inverse_transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Inverse-transforms the data.

Parameters:: X (TensorLike) – Input data.
Returns:: Original data.
Return type:: TensorLike

fit_transform(X: tensorflow.python.types.core.TensorLike) → tensorflow.python.types.core.TensorLike[source]¶

Fits the scaler to the data and transforms it.

Parameters:: X (TensorLike) – Input data
Returns:: Scaled input data X
Return type:: TensorLike