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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... | ||
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... | ||
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 ... | ||
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... | ||
Eg: If an user clicks on Python Package icon from the Packages tab, a pop-up window will appear to confirm the model download. Click Ok and then the model gets downloaded in the form of a WHL file which can be used for further testing and prediction.
Model Re-training
After the Model got trained go to the Home.
Fro... | ||
While uploading the dataset, data size and ram size need to be checked in two cases:
If file size > ram size, file will not be uploaded for further process. File size should not be more than 80% of ram size.
If the file size > 50% of ram size than the alert will be shown and proceed for the next step.
Structured Da... | ||
Click External Data Sources.
Select different sql databases and data warehouses to ingest data. viz.- SQLite, Microsoft SQL, PostgreSQL, MySQL, Oracle, Google BigQuery, Redshift, Snowflake, Actian.
To access data from the database, you need to provide essential credentials like Database Name, Username, Host Port, e... | ||
To see the remaining details, click the EDA button.
On clicking the EDA button, a window will pop up that enables configuring the features and the sample of data that needed to be selected for EDA.
Select features and data subsampling size for exploratory data analysis. Finally, click Next.
Data Overview: The summ... | ||
Data Deep Dive: It offers an interface to inspect the correlation between data points for all the features of a dataset. Each item in the visualization represents the data point of an ingested dataset. Clicking on an individual item shows the key pairs that represent the features of that record whose values may be stri... | ||
Problem Description
Model features
Filter and Grouping
Problem Description
Select the Problem Type. The following problem types are supported:
Classification
Regression
Time Series Forecasting
Time Series Anomaly Detection
Recommender System
Clustering
Anomaly Detection
Survival Analysis
Topic Modeling
St... | ||
Clicking on the Next button will save the configuration and moves it to Advanced Configuration Tab.
AION Online Learning (Beta)
Online learning is a method of machine learning in which input data is continuously used to extend the existing model's knowledge i.e., to further train the model even after the first fit. I... | ||
Half space trees with quantile filter
Other profiling options are the same as in regular AION profiler
STEP 3: Train the model
Now a usecase folder will be created in the target folder. All the profiler models and the best ML model are present in the Production folder
Path: C:\Users\<username>\AppData\Local\HCLT\A... | ||
Distributed Learning (Beta)
Distributed machine learning refers to multi-node/multi-processor machine learning algorithms and systems that are designed to improve performance, increase accuracy, and scale to larger input data sizes. In AION, distributed learning is supported for classification, and regression with XGB... | ||
Following are the steps to install the same:
Download and install the Microsoft C++ Build Tools through link: https://visualstudio.microsoft.com/visual-cpp-build-tools
Open the AION shell.
Install chromadb by using the command below-
Command: python -m pip install chromadb
Advance Configuration
To update the adva... | ||
Trained Model Info
It gives an information about- Training status, Deployment location of a model, problem type, best model (in case multiple algorithms is selected), Score of a best model, feature used, and the reports can be downloaded by clicking on Download Reports tab.
Evaluated Models
Evaluated models gives ... | ||
Click on the Predict icon.
Click Predict Batch tab.
Upload the dataset.
Click Submit to view the prediction result for the file selected.
Prediction can also be performed by using API which is explained in detail in the section 5.2.
Generate Script
This will generate the sample python code to call rest API for pr... | ||
Click Show Metric tab to view the graph.
Note: The acceptable threshold is highlighted in green. A class is considered biased if metrics-score is outside the threshold range.
Performance
Model performance is an assessment of the model's ability to perform a task accurately not only with training data but also in rea... |
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