Abstract:
Method and apparatus for pulling electrical wire through a conduit of an electrical breaker box such as might be installed at a residential home or commercial building wherein the feed wire from a main electrical feed source would be delivered and tied into the applicable home or commercial building. The device has a generally upright standing shaft having a pivot point forming upper and lower shaft portions having a pair of pulleys mounted thereon so that the electrical wire can travel over the pulleys as it is pulled by the hands of the user. The lower shaft portion has a lower brace member thereon which is placed against an upright standing conduit pipe along with another intermediate member having a thin circular curved portion forming a spud thereon designed to fit inside the internal bore of the opening into the upright standing conduit pipe so that the device is removably secured to the upright standing conduit pipe of the electrical breaker box. The electrical wire is pulled over the pair of pulleys wherein, a first pulley is disposed on an upper end of a movable upper arm and a second pulley is disposed on a bracket spaced away from the upright standing member of the device so as to align the wire with the bore of the upright standing conduit pipe.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.
Abstract:
The system allows a casino operator to manage groups of electronic gaming machines (EGMs). Managing new or existing collections (i.e., groups) of gaming devices reduces the effort required to download or configure large numbers of EGMs. For example, new software may be downloaded to groups of EGMs from a central location, and the EGMs may be configured from the central location. Accordingly, this operational efficiency reduces maintenance costs and minimizes EGM downtime due to maintenance or EGM set-up.
Abstract:
A ground contact device having a module with at least a portion of the module's outer surface being curved. The ground contact device also having a planar surface, oriented in a plane parallel to a surface suitable for walking, on the module's inside surface. In addition, the planar surface contains a plurality of prosthetic mount holes.
Abstract:
Disclosed is a grooved grip having a body configured to be grasped by a hand comprising a channel configured to relieve pressure on a median nerve on a palmar surface on a hand.
Abstract:
Systems, methods, and devices may be capable of allowing a player to purchase an instance of game play at a game system with a pre-paid ticket or with another item of value. The game system may determine a denomination of a unit of a currency and generate a session request indicative of the denomination. The game system may also determine a ticket code of a ticket and generate a session request indicative of the ticket code. A remote authorizer may provide the game system with game authorization indicative of a number of entertainment credits in response to receiving a session request.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets for predictive modeling can be received, e.g., over a network from a client computing system. The training data included in the training data sets is different from initial training data that was used with multiple training functions to train multiple trained predictive models stored in a predictive model repository. The series of training data sets are used with multiple trained updateable predictive models obtained from the predictive model repository and multiple training functions to generate multiple retrained predictive models. An effectiveness score is generated for each of the retrained predictive models. A first trained predictive model is selected from among the trained predictive models included in the predictive model repository and the retrained predictive models based on their respective effectiveness scores.
Abstract:
Disclosed is a grooved grip having a body configured to be grasped by a hand comprising a channel configured to relieve pressure on a median nerve on a palmar surface on a hand.
Abstract:
A ground contact device having a module with at least a portion of the module's outer surface being curved. The ground contact device also having a planar surface, oriented in a plane parallel to a surface suitable for walking, on the module's inside surface. In addition, the planar surface contains a plurality of prosthetic mount holes.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on one or more computer storage devices, for training and retraining predictive models. A series of training data sets are received and added to a training data queue. In response to a first condition being satisfied, multiple retrained predictive models are generated using the training data queue, multiple updateable trained predictive models obtained from a repository of trained predictive models, and multiple training functions. In response to a second condition being satisfied, multiple new trained predictive models are generated using the training data queue, at least some training data stored in a training data repository and training functions. The new trained predictive models include static trained predictive models and updateable trained predictive models. The repository of trained predictive models is updated with at least some of the retrained predictive models and new trained predictive models.