PATENT CLAIM ANALYSIS

Application Number: 16239181
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["717", "174000"]

Abstract:
The method for model management includes, within a testing platform: building candidate model(s), validating the candidate model(s), and selectively deploying the candidate model(s) into a production environment. The method can optionally include, within a production environment: detecting a class instance based on the raw data using deployed model(s) within the production environment, and transmitting a notification to an endpoint associated with the detected class.

Claim (Index 7):
The method of  claim 1 , wherein labeling raw data from a set of data sources comprises labeling raw data by a labeling model; and further comprising:\n extracting secondary features from secondary training data, wherein the secondary training data is pre-associated with the label; and training a seed labeling model to algorithmically arrive at a label.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 99.0
- Lexical Diversity: 1.84783
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16047932', '14578205', '16128667', '15214302', '11638732']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3468978234100578
- 35 USC 102 Novelty (BERT): 0.5113312988234998
- Combined Prediction Score: 0.363341170951402
- Mean Citation Score: 157.822012
- Max Citation Score: 295.98618
- Similarity Product: 280.5129725831902

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

Dataset: test