Apply Quantization Function (deprecated)
Updated: July 2, 2015
Puts data into bins using numeric values from a column
Category: Deprecated Modules and Features
The Apply Quantization Function module applies a predefined function to a dataset you provide as input, and returns a dataset in which each element has been binned according to the specified mode.
For more information about how to define a quantization function, see Quantize (deprecated).
 Note |
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When you define a quantization function using Quantize (deprecated), the transformation function implicitly saves the column names and column data types. Therefore, you can apply the quantization function only to matching columns of the same names. |
 Warning |
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This module is provided for backward compatibility with experiments created using the pre-release version of Azure Machine Learning, and will soon be deprecated. We recommend that you modify your experiments to use Quantize Data instead. |
Name | Type | Description |
|---|---|---|
Dataset | Input dataset | |
Binning function | Function | Select a predefined quantization function to apply |
Name | Type | Description |
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Quantized dataset | Dataset after quantization is applied |