PATENT CLAIM ANALYSIS

Application Number: 15916032
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["706", "012000"]

Abstract:
Embodiments disclosed herein generally relate to a method and system for generating a container image. A computing system receives a request from a remote computer to provision a container comprising a machine learning model. The computing system generates a first API accessible by the remote computer. The computing system receives one or more parameters for the container via the API. The one or more parameters include a machine learning model type. The computing system retrieves from a library of a plurality of machine learning models a machine learning model corresponding to a type of model specified in the one or more parameters. The computing system generates a container image that includes the machine learning model. The computing system provisions a container based on the container image.

Claim (Index 1):
A method comprising:\n receiving a request from a remote computer to provision a container comprising a machine learning model; generating a first application programming interface (API), accessible by the remote computer via an application executing on the remote computer; receiving one or more parameters for the container via the first API, wherein the one or more parameters comprises a machine learning model type; retrieving from a library of a plurality of machine learning models a pre-trained machine learning model corresponding to a type of model specified in the one or more parameters; generating a container image comprising the pre-trained machine learning model; and provisioning a container based on the container image.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 90.0
- Lexical Diversity: 2.48148
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12174586', '15345444', '15793671', '15345439', '13733641']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3663560239451041
- 35 USC 102 Novelty (BERT): 0.465432716237681
- Combined Prediction Score: 0.3762636931743618
- Mean Citation Score: 166.75393000000005
- Max Citation Score: 173.7592
- Similarity Product: 134.92728924636842

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