|View source on GitHub|
Returns a standardized column with mean 0 and variance 1.
tft.scale_to_z_score( x: common_types.ConsistentTensorType, elementwise: bool = False, name: Optional[str] = None, output_dtype: Optional[tf.DType] = None ) -> common_types.ConsistentTensorType
Used in the notebooks
|Used in the tutorials|
Scaling to z-score subtracts out the mean and divides by standard deviation. Note that the standard deviation computed here is based on the biased variance (0 delta degrees of freedom), as computed by analyzers.var.
Note that TFLearn generally permits only tf.int64 and tf.float32, so casting this scaler's output may be necessary.