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.
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RocketML Video Embeddings using SVD
By:
Latest Version:
0.1
Singular Value Decomposition on a batch of videos
Product Overview
Video Embeddings using Singular Value Decomposition (SVD) can be used for semantic search, dimentioanlity reduction, and anomaly detection. Give a batch of videos singular values and vectors are computed using these algorithms.
Key Data
Version
By
Type
Algorithm
Highlights
Frames are automatically extracted, resized, reshaped to 1D to create data matrix before performing SVD
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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$5/hr
running on ml.c5.2xlarge
Model Realtime Inference$5.00/hr
running on ml.c5.2xlarge
Model Batch Transform$5.00/hr
running on ml.c5.2xlarge
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$0.408/host/hr
running on ml.c5.2xlarge
SageMaker Realtime Inference$0.408/host/hr
running on ml.c5.2xlarge
SageMaker Batch Transform$0.408/host/hr
running on ml.c5.2xlarge
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.c5.2xlarge Vendor Recommended | $5.00 | |
ml.c5.18xlarge | $5.00 | |
ml.c5.xlarge | $5.00 | |
ml.c5.9xlarge | $5.00 | |
ml.c5.4xlarge | $5.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
See example notebook for example usage.
Channel specification
Fields marked with * are required
train
Input modes: File
Content types: None
Compression types: None
Hyperparameters
Fields marked with * are required
n_components
Number of components
Type: Integer
Tunable: No
n_iter
Maximum iterations
Type: Integer
Tunable: No
tol
Tolerance
Type: Continuous
Tunable: No
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
RocketML Video Embeddings using SVD
RocketML offers free support with email response as well as one-on-one office hours with our experienced solution architects. The service helps customers of all sizes and technical abilities to make best use of RocketML products and features. Subscribers and prospecting customers can contact us at the URL below or email support@rocketml.net
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.
Learn MoreRefund Policy
We do not currently support refunds, but you can cancel at any time. Please contact us at info@rocketml.net
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