PATENT CLAIM ANALYSIS

Application Number: 16286103
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["706", "011000"]

Abstract:
Systems and methods for implementing and using a data modeling and machine learning lifecycle management platform that facilitates collaboration among data engineering, development and operations teams and provides capabilities to experiment using different models in a production environment to accelerate the innovation cycle. Stored computer instructions and processors instantiate various modules of the platform. The modules include a user interface, a collector module for accessing various data sources, a workflow module for processing data received from the data sources, a training module for executing stored computer instructions to train one or more data analytics models using the processed data, a predictor module for producing predictive datasets based on the data analytics models, and a challenger module for executing multi-sample hypothesis testing of the data analytics models.

Claim (Index 8):
The system of  claim 5  wherein each instance of the workflow module is assigned to a specified processor such that the series of tasks associated with the instance of the workflow module are executed on the specified processor.

Metadata:
- Claim Count in Document: 92.0
- Percentile: 99.0
- Lexical Diversity: 1.77632
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15896618', '14838546', '16176833', '13421831', '15375186']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3150873306495489
- 35 USC 102 Novelty (BERT): 0.6101176743177446
- Combined Prediction Score: 0.3445903650163684
- Mean Citation Score: 231.362044
- Max Citation Score: 532.1151
- Similarity Product: 490.6421510759175

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

Dataset: test