Abstract: Aspects of the disclosure relate to using machine learning methods for identity health scoring. A computing platform may train a machine learning model, using historical event information, by: 1) classifying the historical event information using logical regression, and 2) after classifying the historical event information, performing time series calibration on the classified historical event information, wherein training the machine learning model configures the machine learning model to output identity health information. The computing platform may receive new event information. The computing platform may input the new event information into the machine learning model, which may cause the machine learning model to output the identity health information. The computing platform may send, to a client device, the identity health information and one or more commands directing the client device to display an identity health interface, which may cause the client device to display the identity health interface.

Abstract: An adsorbent package is provided for mounting to a filter or bleed nipple that is, in turn, attached to a bight tube or other fluid flow conduit in an auto or truck refrigerant accumulator or receiver-dryer. In a preferred form of the invention, a centrally disposed opening is provided in the adsorbent package and is surrounded by a rigid collar. The opening is dimensioned so that it will be force or snap fit over a flange or the like on the filter. Fluid flow passages are provided adjacent the opening to ensure free flow of liquid refrigerant and compressor lubricating oil through the filter into the fluid flow conduit.