Objective of Naturalscore project is natural language classification. User can upload trainingdata and based on evaluation method he/she can get accuracy value of his/her training data.
Based on evaluation of trainingdata user can get prediction of response text.
Projects are used to organise test items and responses to be scored by the NaturalScore machine learning platform. You can create any number of projects.
Below AWS services are used for this project,
1) IAM
2) Lambda functions
3) S3
4) Cognito
5) Dynamodb
6) Cloudwatch
Objective of Naturalscore project is natural language classification. User can upload trainingdata and based on evaluation method he/she can get accuracy value of his/her training data.
Based on evaluation of trainingdata user can get prediction of response text.
Projects are used to organise test items and responses to be scored by the NaturalScore machine learning platform. You can create any number of projects.
Below AWS services are used for this project,
1) IAM
2) Lambda functions
3) S3
4) Cognito
5) Dynamodb
6) Cloudwatch
Objective of Naturalscore project is natural language classification. User can upload trainingdata and based on evaluation method he/she can get accuracy value of his/her training data.
Based on evaluation of trainingdata user can get prediction of response text.
Projects are used to organise test items and responses to be scored by the NaturalScore machine learning platform. You can create any number of projects.
Below AWS services are used for this project,
1) IAM
2) Lambda functions
3) S3
4) Cognito
5) Dynamodb
6) Cloudwatch
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