Abstract: Among other things, a digitally controlled actuator has a connector for coupling to a drive mechanism of an existing hand-driven cartridge reloader, to actuate a series of processing cycles of the reloader in which supplies of components are subjected to successive mechanical processing steps to produce reloaded cartridges ready for use. There are sensors associated with the actuator and the reloader to (a) acquire digital information that is indicative of a state of progress of each of the processing cycles and of conditions of the reloader related to the production of the reloaded cartridges, and (b) deliver the digital information to a digital controller for controlling the processing cycles of the reloader. The digital controller is connected to receive the digital information from the sensors and to control automatic operation of the reloader in successive processing cycles to produce reloaded cartridges without requiring human intervention.

Abstract: Among other things, a digitally controlled actuator has a connector for coupling to a drive mechanism of an existing hand-driven cartridge reloader, to actuate a series of processing cycles of the reloader in which supplies of components are subjected to successive mechanical processing steps to produce reloaded cartridges ready for use. There are sensors associated with the actuator and the reloader to (a) acquire digital information that is indicative of a state of progress of each of the processing cycles and of conditions of the reloader related to the production of the reloaded cartridges, and (b) deliver the digital information to a digital controller for controlling the processing cycles of the reloader. The digital controller is connected to receive the digital information from the sensors and to control automatic operation of the reloader in successive processing cycles to produce reloaded cartridges without requiring human intervention.

Abstract: Among other things, a digitally controlled actuator has a connector for coupling to a drive mechanism of an existing hand-driven cartridge reloader, to actuate a series of processing cycles of the reloader in which supplies of components are subjected to successive mechanical processing steps to produce reloaded cartridges ready for use. There are sensors associated with the actuator and the reloader to (a) acquire digital information that is indicative of a state of progress of each of the processing cycles and of conditions of the reloader related to the production of the reloaded cartridges, and (b) deliver the digital information to a digital controller for controlling the processing cycles of the reloader. The digital controller is connected to receive the digital information from the sensors and to control automatic operation of the reloader in successive processing cycles to produce reloaded cartridges without requiring human intervention.

Abstract: Among other things, a digitally controlled actuator has a connector for coupling to a drive mechanism of an existing hand-driven cartridge reloader, to actuate a series of processing cycles of the reloader in which supplies of components are subjected to successive mechanical processing steps to produce reloaded cartridges ready for use. There are sensors associated with the actuator and the reloader to (a) acquire digital information that is indicative of a state of progress of each of the processing cycles and of conditions of the reloader related to the production of the reloaded cartridges, and (b) deliver the digital information to a digital controller for controlling the processing cycles of the reloader. The digital controller is connected to receive the digital information from the sensors and to control automatic operation of the reloader in successive processing cycles to produce reloaded cartridges without requiring human intervention.

Abstract: Among other things, a digitally controlled actuator has a connector for coupling to a drive mechanism of an existing hand-driven cartridge reloader, to actuate a series of processing cycles of the reloader in which supplies of components are subjected to successive mechanical processing steps to produce reloaded cartridges ready for use. There are sensors associated with the actuator and the reloader to (a) acquire digital information that is indicative of a state of progress of each of the processing cycles and of conditions of the reloader related to the production of the reloaded cartridges, and (b) deliver the digital information to a digital controller for controlling the processing cycles of the reloader. The digital controller is connected to receive the digital information from the sensors and to control automatic operation of the reloader in successive processing cycles to produce reloaded cartridges without requiring human intervention.

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a process in which a user generates a collection of predictive models or an aggregate predictive model based on historical data about a system being modeled, profiles of aggregate targets are generated based on key contributory variables.

Abstract: Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation. In connection with a project in which a user generates a predictive model based on historical data about a system being modeled, and in which the project includes a series of user choice points and actions or parameter settings that govern the generation of the model based on rules, which direct the user to select and apply an optimal model.