PATENT CLAIM ANALYSIS

Application Number: 16334190
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["706", "012000"]

Abstract:
In some aspects, a machine-learning model, which can transform input attribute values into a predictive or analytical output value, can be trained with training data grouped into attributes. A subset of the attributes can be selected and transformed into a transformed attribute used for training the model. The transformation can involve grouping portions of the training data for the subset of attributes into respective multi-dimensional bins. Each dimension of a multi-dimensional bin can correspond to a respective selected attribute. The transformation can also involve computing interim predictive output values. Each interim predictive output value can be generated from a respective training data portion in a respective multi-dimensional bin. The transformation can also involve computing smoothed interim output values by applying a smoothing function to the interim predictive output values. The transformation can also involve outputting the smoothed interim output values as a dataset for the transformed attribute.

Claim (Index 3):
The system of  claim 1 , wherein the processing device is further configured to execute the instructions to receive a monotonicity constraint that is applied to the machine-learning model, wherein one or more attributes in the subset of attributes violate the monotonicity constraint, wherein the smoothing function is configured to cause the smoothed interim predictive output values to comply with the monotonicity constraint.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 99.0
- Lexical Diversity: 2.46875
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16340256', '15750363', '14935426', '14562541', '14672749']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3884003019058369
- 35 USC 102 Novelty (BERT): 0.4886254733690885
- Combined Prediction Score: 0.3984228190521621
- Mean Citation Score: 183.623624
- Max Citation Score: 207.1118
- Similarity Product: 144.4408008733511

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test