PATENT CLAIM ANALYSIS

Application Number: 16172223
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2020-01
Patent Classification: ["706", "012000"]

Abstract:
A scalable system and method for completing a model task using a serverless architecture is disclosed. The system may include a model optimizer having one or more memory units for storing instructions and one or more processors. The method may include receiving a request to complete a model task, and retrieving a stored model and a first hyperparameter based on the request. The method may include provisioning first computing resources to a development instance configured to train the retrieved model based on the first hyperparameter and the model task. The method may include receiving, from the development instance, a trained model and a performance metric. The method may include receiving, from a different development instance, a different performance metric associated with a different model, and terminating the development instance based on a determination that the termination condition is satisfied.

Claim (Index 20):
A scalable system for completing a model task using a serverless architecture, the system comprising:\n a model optimizer, wherein the model optimizer comprises: one or more memory units for storing instructions; and one or more processors configured to execute the stored instructions to perform operations comprising:\n receiving a request to complete a model task; \n retrieving a model from a model storage by selecting the retrieved model in an index of stored models based on the model task; \n retrieving a hyperparameter based on the retrieved model and the model task; \n spinning up a development instance of the serverless architecture, the development instance being configured to train the retrieved model based on the retrieved hyperparameter and the model task; \n creating, by the development instance, a model instance of the retrieved model; \n training, by the development instance, the model instance, the training comprising a hyperparameter search based on the retrieved hyperparameter; \n terminating, by the development instance, model training upon satisfaction of a training criterion; \n generating, by the development instance, a performance metric of the trained model; \n receiving, from the running development instance, the trained model and a performance metric associated with the trained model; \n receiving, from a different development instance, a different performance metric associated with a different model; \n determining that a termination condition is satisfied based on at least one of the performance metric or the different performance metric; and \n terminating the development instance based on the determination that the termination condition is satisfied.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 2.43548
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16172344', '16172508', '16151385', '16163483', '16169208']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4030306256117034
- 35 USC 102 Novelty (BERT): 0.52100160543687
- Combined Prediction Score: 0.4148277235942201
- Mean Citation Score: 269.45689000000004
- Max Citation Score: 343.2396
- Similarity Product: 251.5331008555412

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