PATENT CLAIM ANALYSIS

Application Number: 15750363
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-01
Patent Classification: ["717", "124000"]

Abstract:
Certain aspects involve building and debugging models for generating source code executed on data-processing platforms. A target data-processing platform is identified that requires bin ranges for modeling coefficients and reason codes for input attributes. A processor outputs source code, which is generated from a modeling code, in a programming language used by the target data-processing platform.

Claim (Index 4):
The model integration system of  claim 3 , the operations further comprising, prior to verifying that the test analytical output matches the expected analytical output and the test reason code matches the expected reason code:\n performing an additional test of the PMML code; determining that the additional test results in a failed test, the failed test comprising an additional test analytical output that fails to match the expected analytical output or an additional test reason code that fails to match the expected reason code; and updating the PMML code subsequent to the failed test, wherein the PMML code, as updated, results in the test analytical output and the test reason code matching the expected analytical output and the expected reason code.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 88.0
- Lexical Diversity: 1.38636
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16334190', '10443243', '15388388', '12873434', '10126286']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3699865948543072
- 35 USC 102 Novelty (BERT): 0.5182244112028117
- Combined Prediction Score: 0.3848103764891576
- Mean Citation Score: 172.75708799999995
- Max Citation Score: 209.60889
- Similarity Product: 119.27305677060842

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