Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Anomaly Detection - Sensor Data
By:
Latest Version:
1.0
Anomaly detection for sensor data to identify anomalies.
Product Overview
Feed in your multivariate time-series data from different sensors at normalized sampling rates and this API will flag anomalies for you. You can tweak the anomaly level with hyper-parameters. This algorithm has been used for monitoring the performance of various mechanical equipment or devices.
Key Data
Version
Type
Algorithm
Highlights
- Deploying the Anomaly Detection Algorithm within SageMaker ensures a secure and efficient setup, ideal for scalable and reliable anomaly detection applications.
- Optimized Docker containers deliver excellent performance, with low latency and high throughput, particularly in both CPU and GPU configurations.
- The algorithm supports flexible deployment with custom training and inference scripts, making it adaptable to various anomaly detection use cases across different datasets.
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Algorithm Training$10/hr
running on ml.m5.large
Model Realtime Inference$5.00/hr
running on ml.m5.large
Model Batch Transform$5.00/hr
running on ml.m5.large
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Algorithm Training$0.115/host/hr
running on ml.m5.large
SageMaker Realtime Inference$0.115/host/hr
running on ml.m5.large
SageMaker Batch Transform$0.115/host/hr
running on ml.m5.large
Algorithm Training
For algorithm training in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Algorithm/hr | |
|---|---|---|
ml.m4.4xlarge | $10.00 | |
ml.m5.4xlarge | $10.00 | |
ml.m5.12xlarge | $10.00 | |
ml.m5.large Vendor Recommended | $10.00 | |
ml.m4.16xlarge | $10.00 | |
ml.m5.2xlarge | $10.00 | |
ml.m4.10xlarge | $10.00 | |
ml.m5.24xlarge | $10.00 | |
ml.m5.xlarge | $10.00 | |
ml.m4.2xlarge | $10.00 |
Usage Information
Training
The training data should be uploaded to the s3 bucket and then follow the notebook link provided to create the training job.
Channel specification
Fields marked with * are required
train
Training data
Input modes: File
Content types: application/json
Compression types: -
Model input and output details
Input
Summary
The training job generates a model.tar.gz file, which is saved to the specified S3 output path. This model, along with the testing JSON data, is then used as input for the inference script. Kindly follow the notebook link.
Input MIME type
application/jsonSample input data
Output
Summary
The output consists of timestamps and results of different algorithms. The results are in categorical format, "NORMAL" or "ANOMALY".
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
AWS Infrastructure
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Subscriptions are not refundable.
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