input stringclasses 1
value | instruction stringclasses 5
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[' 1. What is AION?', ' 2. What is the purpose of AION?', ' 3. What are the sub-processes included in AION?', ' 4. What is AutoML?', ' 5. What is MLOPs?', ' 6. What is MLaC?', ' 7. What is Explainability in AION?', ' 8. How does AION automate the data analytics cycle?', ' 9. What are the stages in the AION pipeline?', ... | AION User Guide
(Release 2.8.5)
Copyright Notice
The information contained in this document is the property of HCL Technologies Limited. Except as specifically authorized in writing by HCL Technologies Limited, the holder of this document shall: (1) keep all information contained herein confidential and shall protec... | |
[' 1. What is the purpose of the statistical analysis in SELECTOR- Feature Selection?', ' 2. Which algorithms are supported in LEARNER- Model Training Hyper Parameter Tuning?', ' 3. What is the function of PREDICTOR- Inference service?', ' 4. How does OBSERVER – Model Monitoring monitor the model?', ' 5. What is the pu... | SELECTOR- Feature Selection: The statistical analysis takes place to identify the relevant features for model training and remove the unimportant features based on correlation & importance.
LEARNER- Model Training Hyper Parameter Tuning: This stage trains configured models and selects the best parameters based on hype... | |
[' 1. What is the compatibility of AION with previous versions?', ' 2. How can I create a new use case in AION?', ' 3. What are the special characters or spaces not supported in use case names?', ' 4. How do I view existing use cases and their training status?', ' 5. What are the different compute infrastructures avail... | Compatibility with previous version:
Note: Note: if a previous version of AION is already installed, re-training of use cases of that version is possible in the latest version, and it is backward compatible. But, use cases created in the latest version may not run the previous version, as forward compatibility is not ... | |
[' 1. What is MLaC?', ' 2. What are the four unique components of MLaC?', ' 3. How does MLaC generate code?', ' 4. What is the path where the generated code can be found?', ' 5. What is the pre-requisite for generating a container?', ' 6. How does the docker image creation process work?', ' 7. What is the order in whic... | Model Container
Retrained Model
MLaC: Machine Learning as Code generates code automatically based on ML Operations performed during various ML Lifecycle. Using MLaC, expert data scientists can have better control over experimentation, optimization & deployment of ML Models.
MLaC has four unique components.
Generat... | |
[] | Select authorization as Basic Authorization
Username: USERNAME
Password: PASSWORD
Put the data in the Body as a raw json format.
Click send to perform prediction.
Note: For more information users can follow the user guide for MLaC by clicking on the icon on the top right corner of the pop-up window.
Federated ... | |
[] | Model container: The model container creates a docker image of the trained model so that user can use that image anywhere, pull the image, and perform testing. If the user wants to consume the trained model for prediction purpose in some system where AION is not there, then either the user can install it as python pack... |
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