Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for generating and processing modeling workflows are disclosed. In some examples, a reference distribution of scores generated by a model is determined. The reference distribution of scores is recorded in a structured database. One or more unexpected scores are detected during execution of the model. To detect the one or more unexpected scores, a production distribution of scores is compared with the reference distribution of scores recorded in the structured database. The production distribution of scores is generated by the model for a production input data set. An alert is then provided to an external system, when an alert condition is determined to be satisfied based on the comparison. The alert indicates detection of the one or more unexpected scores.

Abstract: Systems and methods for generating and processing modeling workflows.

Abstract: The present disclosure provides a device and methods for determining the original stratum direction of a core. The device includes a confining pressure pump, a resistance meter, and a core holder composed of upper and lower portions. The present disclosure further provides three methods for determining the original stratum direction of the core. The three methods respectively use the device to measure resistance values at different positions of the core, and compare a test result with an imaging result of resistivity imaging logging data to determine the rock direction of the core in a stratum.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: Systems and methods for generating explanation information for a result of an application system. Explanation configuration is generated based on received user input. Responsive to an explanation generation event, a plurality of modified input variable value sets are generated for a first applicant by using the explanation configuration. For each modified input variable value set: a request is provided to a first application system for generation of a result for the modified input variable value set, and a result is received for the modified input variable value set. At least one input variable value is selected based on a comparison between a first result of a first input variable value set of the first applicant and results for the modified input variable value set. Explanation information is generated for the first result by using human-readable description information for each selected input variable value, in accordance with the explanation configuration.

Abstract: The present disclosure discloses a resistivity measurement method, device and system. The method comprises: placing a core to be measured into the core holder after a 100% saturated water treatment, and injecting a predetermined confining pressure by the confining pressure pump; turning on the displacement source to carry out a displacement, and at an interval of a predetermined time period, acquiring a current value by the ammeter and a voltage value by the voltmeter; determining a resistivity of the core according to the current value, the voltage value, an arc length of the curved electrode, and a radius and a length of the core. The present disclosure can realize a rock resistivity measurement in a vertical direction under formation conditions for a plunger-type core, without needing to change the core preparation technology or method.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: A system and method for adjusting power consumption of a power consumer (e.g., an intercom device) may include a power supply, the power consumer connected to the power supply through a transmitting device, and at least one processor. The at least one processor may be configured to obtain a first voltage associated with the power supply and a second voltage associated with the power consumer, and adjust an operation status of the power consumer at least based on the first voltage and the second voltage. The first voltage may be an output voltage of the power supply, and the second voltage may be an input voltage of the power consumer.

Abstract: The present disclosure discloses a resistivity measurement method, device and system. The method comprises: placing a core to be measured into the core holder after a 100% saturated water treatment, and injecting a predetermined confining pressure by the confining pressure pump; turning on the displacement source to carry out a displacement, and at an interval of a predetermined time period, acquiring a current value by the ammeter and a voltage value by the voltmeter; determining a resistivity of the core according to the current value, the voltage value, an arc length of the curved electrode, and a radius and a length of the core. The present disclosure can realize a rock resistivity measurement in a vertical direction under formation conditions for a plunger-type core, without needing to change the core preparation technology or method.

Abstract: Systems and methods for generating and processing modeling workflows.

Abstract: Systems and methods for model evaluation. A model is evaluated by performing a decomposition process for a model output, relative to a baseline input data set.

Abstract: Systems and methods for model evaluation. A protected class model that satisfies an accuracy threshold is built by using: data sets for use by a modeling system being evaluated, and protected class membership information for each data set. A target for the protected class model is a protected class membership variable indicating membership in a protected class. Each predictor of the protected class model is a predictor of an evaluated model used by the modeling system. A target of the evaluated model is different from the target of the protected class model. Each predictor is a set of one or more variables of the data sets. For each predictor of the protected class model, a protected class model impact ranking value and a modeling system impact ranking value are determined.

Abstract: Systems and methods for generating explanation information for a result of an application system. Explanation configuration is generated based on received user input. Responsive to an explanation generation event, a plurality of modified input variable value sets are generated for a first applicant by using the explanation configuration. For each modified input variable value set: a request is provided to a first application system for generation of a result for the modified input variable value set, and a result is received for the modified input variable value set. At least one input variable value is selected based on a comparison between a first result of a first input variable value set of the first applicant and results for the modified input variable value set. Explanation information is generated for the first result by using human-readable description information for each selected input variable value, in accordance with the explanation configuration.